https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&feed=atom&action=historyGaucher Disease: Task 06 - Protein structure prediction from evolutionary sequence variation - Revision history2024-03-28T12:42:23ZRevision history for this page on the wikiMediaWiki 1.31.16https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38880&oldid=prevKalemanovm: /* Calculate Structural Models */2013-09-05T23:05:17Z<p><span dir="auto"><span class="autocomment">Calculate Structural Models</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 23:05, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 176:</td>
<td colspan="2" class="diff-lineno">Line 176:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate Structural Models==</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate Structural Models==</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We generated structural models of HRas (P01112) by using Evfold. We run Evfold with different scores (DI, PLM). Furthermore we considered various numbers of contacts. Dependent on the sequence length, we instructed the <del class="diffchange diffchange-inline">programm</del> to concentrate on 20/40/60/80/100% of contacts. According to this the structures differ in their similarity to the reference structure (121p). In <xr id="const"/> the maps of the predicted contacts can be seen. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We generated structural models of HRas (P01112) by using Evfold. We run Evfold with different scores (DI, PLM). Furthermore<ins class="diffchange diffchange-inline">,</ins> we considered various numbers of contacts. Dependent on the sequence length, we instructed the <ins class="diffchange diffchange-inline">program</ins> to concentrate on 20/40/60/80/100% of contacts. According to this the structures differ in their similarity to the reference structure (121p). In <xr id="const"/> the maps of the predicted contacts can be seen. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 197:</td>
<td colspan="2" class="diff-lineno">Line 197:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="box" ></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="box" ></div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Image:boxplot-DI-PLM.jpg|thumb|right|500px|'''<caption>'''Comparison of all predictions of Evfold. For each score and number of constraints, 5 models were grouped in a box of the plot. Models based on the DI score are colored orange. The remaining ones (blue) were calculated with the PLM score. For each score, the models with the same constraint number, <del class="diffchange diffchange-inline">wich</del> had the best <del class="diffchange diffchange-inline">rmsds</del>, were darkened.</caption> ]]</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[Image:boxplot-DI-PLM.jpg|thumb|right|500px|'''<caption>'''Comparison of all predictions of Evfold. For each score and number of constraints, 5 models were grouped in a box of the plot. Models based on the DI score are colored orange. The remaining ones (blue) were calculated with the PLM score. For each score, the models with the same constraint number, <ins class="diffchange diffchange-inline">which</ins> had the best <ins class="diffchange diffchange-inline">RMSD values</ins>, were darkened.</caption> ]]</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We compared different predicted structures to find the best prediction of Evfold. A great number of <del class="diffchange diffchange-inline">rmsds</del> calculated from different predicted models were visualized in<del class="diffchange diffchange-inline"> the picture on the right.</del> <xr id="box"/> shows that, except for 32 contacts (~20%), all <del class="diffchange diffchange-inline">rmsd</del> of PLM models are lower than those from DI models. <del class="diffchange diffchange-inline">An</del> average of <del class="diffchange diffchange-inline">rmsd</del> values dependent on the scores and constrains are listed in <xr id="rmsd"/>. As the average <del class="diffchange diffchange-inline">rmsd</del> values for models with 32 <del class="diffchange diffchange-inline">contraints,</del> are the worst <del class="diffchange diffchange-inline">rmsd</del> of each score, we did not consider them anymore. A look into an alignment of those models with 121p affirmed our decision as the helices were arranged <del class="diffchange diffchange-inline">completly</del> <del class="diffchange diffchange-inline">different</del>. While PLM models with 129 constraints show the best similarity to the reference <del class="diffchange diffchange-inline">structer</del>, the best aligned models with DI score consider only 97 constrains. <del class="diffchange diffchange-inline">But</del>, both scores produce worse predictions by using 100% of contacts. In general, it is recommendable to use ~70% of contacts to predict a structure most similar to the original sequence.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We compared different predicted structures to find the best prediction of Evfold. A great number of <ins class="diffchange diffchange-inline">RMSDs</ins> calculated from different predicted models were visualized in <xr id="box"/><ins class="diffchange diffchange-inline">. It</ins> shows that, except for 32 contacts (~20%), all <ins class="diffchange diffchange-inline">RMSD values</ins> of PLM models are lower than those from DI models. <ins class="diffchange diffchange-inline">The</ins> average of <ins class="diffchange diffchange-inline">the RMSD</ins> values dependent on the scores and constrains are listed in <xr id="rmsd"/>. As the average <ins class="diffchange diffchange-inline">RMSD</ins> values for models with 32 <ins class="diffchange diffchange-inline">constraints</ins> are the worst <ins class="diffchange diffchange-inline">RMSD</ins> of each score, we did not consider them anymore. A look into an alignment of those models with 121p affirmed our decision as the helices were arranged <ins class="diffchange diffchange-inline">completely</ins> <ins class="diffchange diffchange-inline">differently</ins>. While PLM models with 129 constraints show the best similarity to the reference <ins class="diffchange diffchange-inline">structure</ins>, the best aligned models with DI score consider only 97 constrains. <ins class="diffchange diffchange-inline">However</ins>, both scores produce worse predictions by using 100% of contacts. In general, it is recommendable to use ~70% of contacts to predict a structure most similar to the original sequence.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We also looked at the alignment of the <del class="diffchange diffchange-inline">refernce</del> structure to PLM model 129_4 and DI model 97_4 (in <xr id="align"/>). Both predicted structures have the best <del class="diffchange diffchange-inline">rmsd</del> compared to the remaining models based on the same score. Not only from the <del class="diffchange diffchange-inline">rmsd</del> value (2.62), but on the first sight it is obvious that the PLM score produced the better structure (<xr id="align"/>). While the PLM model (darkblue) predicts most helices and sheets, the DI model (red) cannot identify sheets but predicts them as loops. This is best observable for the three sheets at the bottom right in the two alignment pictures. Also the helices are more deviating from the reference structure (turquoise) than the ones of the PLM model. As the average <del class="diffchange diffchange-inline">rmsd</del> value for the PLM models with 129 constrains (3.03) is<del class="diffchange diffchange-inline"> </del> better than even the best <del class="diffchange diffchange-inline">rmsd</del> of all DI models (3.96), we will use the PLM score for future predictions.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We also looked at the alignment of the <ins class="diffchange diffchange-inline">reference</ins> structure to PLM model 129_4 and DI model 97_4 (in <xr id="align"/>). Both predicted structures have the best <ins class="diffchange diffchange-inline">RMSD</ins> compared to the remaining models based on the same score. Not only from the <ins class="diffchange diffchange-inline">RMSD</ins> value (2.62), but on the first sight it is obvious that the PLM score produced the better structure (<xr id="align"/>). While the PLM model (darkblue) predicts most helices and sheets, the DI model (red) cannot identify sheets but predicts them as loops. This is best observable for the three sheets at the bottom right in the two alignment pictures. Also the helices<ins class="diffchange diffchange-inline"> predicted by the DI model</ins> are more deviating from the reference structure (turquoise) than the ones of the PLM model. As the average <ins class="diffchange diffchange-inline">RMSD</ins> value for the PLM models with 129 constrains (3.03) is better than even the best <ins class="diffchange diffchange-inline">RMSD</ins> of all DI models (3.96), we will use the PLM score for future predictions.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<!-- diff cache key wikidb:diff:wikidiff2:1.12:old-38879:rev-38880:1.7.3:0 -->
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38879&oldid=prevKalemanovm: /* Glucocerebrosidase */2013-09-05T22:56:08Z<p><span dir="auto"><span class="autocomment">Glucocerebrosidase</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:56, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 133:</td>
<td colspan="2" class="diff-lineno">Line 133:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2) cannot distinguish <del class="diffchange diffchange-inline">an</del> correlation between the prediction state (TP/FP) and the CN score. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2) cannot distinguish <ins class="diffchange diffchange-inline">a</ins> correlation between the prediction state (TP/FP) and the CN score. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of glucocrebrosidase predicted by free contact are listed in <xr id="hot2"/> and visualized in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-Coffee alignment 1](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the UniProt sequence)<del class="diffchange diffchange-inline">,</del> is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher<del class="diffchange diffchange-inline">'s</del> disease. This valine as well as its direct neighbor cysteine seems to be very important to the structure and function of the protein. Together with the other non disease causing hot spots they form a densely packed hot spot area. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of glucocrebrosidase predicted by free contact are listed in <xr id="hot2"/> and visualized in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-Coffee alignment 1](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the UniProt sequence) is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher disease. This valine as well as its direct neighbor cysteine seems to be very important to the structure and function of the protein. Together with the other non disease causing hot spots they form a densely packed hot spot area. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (PDB position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (PDB position 53), both residues stabilize two beta sheets. The two residues are each located in one strand and lie very close in the secondary structure. These two beta sheets play a significant role, as a different arrangement of them causes Gaucher disease.</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (PDB position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (PDB position 53), both residues stabilize two beta sheets. The two residues are each located in one strand and lie very close in the secondary structure. These two beta sheets play a significant role, as a different arrangement of them causes Gaucher disease.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 168:</td>
<td colspan="2" class="diff-lineno">Line 168:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|- </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|- </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Top scores of 10 Hot Spots calculated from the 497 (L) best scoring pairs. Information about mutation is taken from <span style="color:#FF0040">'''HGMD'''</span> as well as <span style="color:#04B431">'''dbSNP'''</span> and differs between disease causing (dc) and non disease causing (ndc). The positions refer to the PDB positions. The position differs from the position of the UniProt sequence <del class="diffchange diffchange-inline">for</del> 39 residues. One point mutation can be classified as synonymous and non-synonymous SNP.</caption></small></center></div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Top scores of 10 Hot Spots calculated from the 497 (L) best scoring pairs. Information about mutation is taken from <span style="color:#FF0040">'''HGMD'''</span> as well as <span style="color:#04B431">'''dbSNP'''</span> and differs between disease causing (dc) and non disease causing (ndc). The positions refer to the PDB positions. The position differs from the position of the UniProt sequence <ins class="diffchange diffchange-inline">by</ins> 39 residues. One point mutation can be classified as synonymous and non-synonymous SNP.</caption></small></center></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td>
</tr>
<!-- diff cache key wikidb:diff:wikidiff2:1.12:old-38878:rev-38879:1.7.3:0 -->
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38878&oldid=prevKalemanovm: /* Glucocerebrosidase */2013-09-05T22:48:57Z<p><span dir="auto"><span class="autocomment">Glucocerebrosidase</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:48, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 133:</td>
<td colspan="2" class="diff-lineno">Line 133:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2)cannot distinguish an correlation between the prediction state (TP/FP) and the CN score. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2)<ins class="diffchange diffchange-inline"> </ins>cannot distinguish an correlation between the prediction state (TP/FP) and the CN score. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38877&oldid=prevKalemanovm: /* Glucocerebrosidase */2013-09-05T22:47:57Z<p><span dir="auto"><span class="autocomment">Glucocerebrosidase</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:47, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 94:</td>
<td colspan="2" class="diff-lineno">Line 94:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Glucocerebrosidase===</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Glucocerebrosidase===</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The range of all CN scores lies between -0.66 and 4.36. By excluding contacts between residues that have an sequence distance of less than 5 residues, the highest CN score drops to 4.0. The <del class="diffchange diffchange-inline">Histogram</del> of the CN score <del class="diffchange diffchange-inline">frequencey</del> distribution has a very high gradient due to the great number of contacts with an CN score of 0.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The range of all CN scores lies between -0.66 and 4.36. By excluding contacts between residues that have an sequence distance of less than 5 residues, the highest CN score drops to 4.0. The <ins class="diffchange diffchange-inline">histogram</ins> of the CN score <ins class="diffchange diffchange-inline">frequency</ins> distribution has a very high gradient due to the great number of contacts with an CN score of 0.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="gluco_dist"></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="gluco_dist"></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{| border="1" cellpadding="5" cellspacing="0" align="center" </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{| border="1" cellpadding="5" cellspacing="0" align="center" </div></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 122:</td>
<td colspan="2" class="diff-lineno">Line 122:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="contact_gluco" ></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="contact_gluco" ></div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Image:glucocerebrosidase_map.jpeg|thumb|right|400px|'''<caption>''' Contact map of predicted contacts based on freecontact and the real contacts documented in the 1OGS.pdb (light and darkblue). Contrary to the <del class="diffchange diffchange-inline">pdb</del> contact, the calculated TP (darkblue) and the FP (red) only consider residues with a sequence distance of at least 5 residues.</caption>]]</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[Image:glucocerebrosidase_map.jpeg|thumb|right|400px|'''<caption>''' Contact map of predicted contacts based on freecontact and the real contacts documented in the 1OGS.pdb (light and darkblue). Contrary to the <ins class="diffchange diffchange-inline">PDB</ins> contact, the calculated TP (darkblue) and the FP (red) only consider residues with a sequence distance of at least 5 residues.</caption>]]</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="hot_gluco" ></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="hot_gluco" ></div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Image:gluco_mut.png|thumb|right|400px|'''<caption>''' Pymol <del class="diffchange diffchange-inline">visualisation</del> of 1OGS.pdb with <del class="diffchange diffchange-inline">coloured</del> top 10 hot spots. The best hot spot is marked darkblue. Hot spots that are classified as disease causing mutations of HGMD or dbSNP are <del class="diffchange diffchange-inline">coloured</del> red. The remaining hot spots are highlighted in rose.</caption>]]</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[Image:gluco_mut.png|thumb|right|400px|'''<caption>''' Pymol <ins class="diffchange diffchange-inline">visualization</ins> of 1OGS.pdb with <ins class="diffchange diffchange-inline">colored</ins> top 10 hot spots. The best hot spot is marked darkblue. Hot spots that are classified as disease causing mutations of HGMD or dbSNP are <ins class="diffchange diffchange-inline">colored</ins> red. The remaining hot spots are highlighted in rose.</caption>]]</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figure></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>After filtering out the <del class="diffchange diffchange-inline">neighbour</del> contacts, only 0.2% predicted contacts have an CN>1 and could be seen as high scoring pairs (<xr id="graphic_gluco"/>, 2). These 247 pairs show a TP rate of 39% :</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>After filtering out the <ins class="diffchange diffchange-inline">neighbor</ins> contacts, only 0.2% predicted contacts have an CN>1 and could be seen as high scoring pairs (<xr id="graphic_gluco"/>, 2). These 247 pairs show a TP rate of 39% :</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*TP: 97</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 150</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2)cannot distinguish an correlation between the prediction state (TP/FP) and the CN score. </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The Pearson correlation (0.2)cannot distinguish an correlation between the prediction state (TP/FP) and the CN score. </div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"></td>
<td colspan="2" class="diff-empty"> </td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of glucocrebrosidase predicted by free contact are listed in <xr id="hot2"/> and <del class="diffchange diffchange-inline">visualised</del> in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-<del class="diffchange diffchange-inline">Coffe</del> alignment 1<del class="diffchange diffchange-inline"> </del>](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the <del class="diffchange diffchange-inline">uniprot</del> sequence), is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher's disease. This valine as well as its direct <del class="diffchange diffchange-inline">neighbour</del> cysteine seems to be very important to the structure and <del class="diffchange diffchange-inline">funktion</del> of the protein. Together with the other non disease causing hot spots they form <del class="diffchange diffchange-inline">an</del> densely packed hot spot area. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of glucocrebrosidase predicted by free contact are listed in <xr id="hot2"/> and <ins class="diffchange diffchange-inline">visualized</ins> in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-<ins class="diffchange diffchange-inline">Coffee</ins> alignment 1](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the <ins class="diffchange diffchange-inline">UniProt</ins> sequence), is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher's disease. This valine as well as its direct <ins class="diffchange diffchange-inline">neighbor</ins> cysteine seems to be very important to the structure and <ins class="diffchange diffchange-inline">function</ins> of the protein. Together with the other non disease causing hot spots they form <ins class="diffchange diffchange-inline">a</ins> densely packed hot spot area. </div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (<del class="diffchange diffchange-inline">pdb</del> position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (<del class="diffchange diffchange-inline">pdb</del> position 53), both residues <del class="diffchange diffchange-inline">stabilizes</del> two beta sheets. The two residues are each located in one strand and <del class="diffchange diffchange-inline">ly</del> very close in the secondary structure. <del class="diffchange diffchange-inline">This</del> two beta sheets play a significant role, as a different <del class="diffchange diffchange-inline">arangement</del> of them causes Gaucher disease.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (<ins class="diffchange diffchange-inline">PDB</ins> position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (<ins class="diffchange diffchange-inline">PDB</ins> position 53), both residues <ins class="diffchange diffchange-inline">stabilize</ins> two beta sheets. The two residues are each located in one strand and <ins class="diffchange diffchange-inline">lie</ins> very close in the secondary structure. <ins class="diffchange diffchange-inline">These</ins> two beta sheets play a significant role, as a different <ins class="diffchange diffchange-inline">arrangement</ins> of them causes Gaucher disease.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="hot2"></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="hot2"></div></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 169:</td>
<td colspan="2" class="diff-lineno">Line 168:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|- </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|- </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Top scores of 10 Hot Spots calculated from the 497 (L) best scoring pairs. Information about mutation is taken from <span style="color:#FF0040">'''HGMD'''</span> as well as <span style="color:#04B431">'''dbSNP'''</span> and differs between disease causing (dc) and non disease causing (ndc). The positions refer to the <del class="diffchange diffchange-inline">pdb</del> positions. The position differs from the position of the <del class="diffchange diffchange-inline">uniprot</del> sequence for 39 residues. One point mutation can be classified as synonymous and non-synonymous SNP.</caption></small></center></div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Top scores of 10 Hot Spots calculated from the 497 (L) best scoring pairs. Information about mutation is taken from <span style="color:#FF0040">'''HGMD'''</span> as well as <span style="color:#04B431">'''dbSNP'''</span> and differs between disease causing (dc) and non disease causing (ndc). The positions refer to the <ins class="diffchange diffchange-inline">PDB</ins> positions. The position differs from the position of the <ins class="diffchange diffchange-inline">UniProt</ins> sequence for 39 residues. One point mutation can be classified as synonymous and non-synonymous SNP.</caption></small></center></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Compared to the of EVcouplings prediction, both methods have only 14% <del class="diffchange diffchange-inline">overlaping</del> residues in their best 50 hot spots. The main difference between these 50 predicted hot spots of EV coupling and freecontact are the position range of the hot spots. While EVcouplings finds a lot of hot spots in the higher positions, freecontact has most of its hot spots located within the residues on positions <100. Only 7 hot spots of freecontact have positions >430. These few residues correspond exactly to the <del class="diffchange diffchange-inline">overlaping</del> hot spots of both programs.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Compared to the of EVcouplings prediction, both methods have only 14% <ins class="diffchange diffchange-inline">overlapping</ins> residues in their best 50 hot spots. The main difference between these 50 predicted hot spots of EV coupling and freecontact are the position range of the hot spots. While EVcouplings finds a lot of hot spots in the higher positions, freecontact has most of its hot spots located within the residues on positions <100. Only 7 hot spots of freecontact have positions >430. These few residues correspond exactly to the <ins class="diffchange diffchange-inline">overlapping</ins> hot spots of both programs.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate Structural Models==</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate Structural Models==</div></td>
</tr>
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38876&oldid=prevKalemanovm: /* HRas */2013-09-05T22:37:15Z<p><span dir="auto"><span class="autocomment">HRas</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:37, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 56:</td>
<td colspan="2" class="diff-lineno">Line 56:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 10 residues with the best top <del class="diffchange diffchange-inline">score</del> were defined as hot spots. A mutation at this residues will have <del class="diffchange diffchange-inline">an</del> great influence on the 3D structure of the protein. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 10 residues with the best top <ins class="diffchange diffchange-inline">scores</ins> were defined as hot spots. A mutation at this residues will have <ins class="diffchange diffchange-inline">a</ins> great influence on the 3D structure of the protein. </div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The hot spots in <xr id="hot"/> were marked on the pdb structure on the <del class="diffchange diffchange-inline">pymol</del> <del class="diffchange diffchange-inline">visualisation</del> in <xr id="hot_ras"/>. The residue 40 (pink) which is part of a beta sheet <del class="diffchange diffchange-inline">stabilises</del> its sheet to a parallel lying alpha helix. The <del class="diffchange diffchange-inline">remainig</del> nine residues (orange) <del class="diffchange diffchange-inline">ly</del> close to each other in their secondary structure and hold three beta sheets together. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The hot spots in <xr id="hot"/> were marked on the pdb structure on the <ins class="diffchange diffchange-inline">Pymol</ins> <ins class="diffchange diffchange-inline">visualization</ins> in <xr id="hot_ras"/>. The residue 40 (pink) which is part of a beta sheet <ins class="diffchange diffchange-inline">stabilizes</ins> its sheet to a parallel lying alpha helix. The <ins class="diffchange diffchange-inline">remaining</ins> nine residues (orange) <ins class="diffchange diffchange-inline">lie</ins> close to each other in their secondary structure and hold three beta sheets together. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="hot"></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figtable id="hot"></div></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 91:</td>
<td colspan="2" class="diff-lineno">Line 91:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 50 residues with the best CN were compared to 50 hot spots calculated by EVcouplings. These hot spots have an overlap of only 44%. The <del class="diffchange diffchange-inline">overlaping</del> hotspots were also ranked very differently <del class="diffchange diffchange-inline">of</del> both programs.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 50 residues with the best CN were compared to 50 hot spots calculated by EVcouplings. These hot spots have an overlap of only 44%. The <ins class="diffchange diffchange-inline">overlapping</ins> hotspots were also ranked very differently <ins class="diffchange diffchange-inline">by</ins> both programs.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Glucocerebrosidase===</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===Glucocerebrosidase===</div></td>
</tr>
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38873&oldid=prevKalemanovm: /* HRas */2013-09-05T22:16:03Z<p><span dir="auto"><span class="autocomment">HRas</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:16, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 47:</td>
<td colspan="2" class="diff-lineno">Line 47:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 10</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>*FP: 10</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Although more than half of FP predicted contacts have a lower score, there can be seen no correlation between FP/TP and the CN score. The Pearson correlation leads only to a non-<del class="diffchange diffchange-inline">significanz</del> of 0.15.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Although more than half of FP predicted contacts have a lower score, there can be seen no correlation between FP/TP and the CN score. The Pearson correlation leads only to a non-<ins class="diffchange diffchange-inline">significance</ins> of 0.15.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>On the contact map in <xr id="contact_ras"/>, a significant pattern for a domain identification could not be observed.</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>On the contact map in <xr id="contact_ras"/>, a significant pattern for a domain identification could not be observed.</div></td>
</tr>
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38872&oldid=prevKalemanovm: /* Calculate and analyze correlated mutations */2013-09-05T22:13:47Z<p><span dir="auto"><span class="autocomment">Calculate and analyze correlated mutations</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:13, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 2:</td>
<td colspan="2" class="diff-lineno">Line 2:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate and analyze correlated mutations==</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Calculate and analyze correlated mutations==</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Not all predicted contacts are needed to predict structure from sequence. Residues that <del class="diffchange diffchange-inline">ly</del> close to each other in their primary structure, have automatically contact due to their direct <del class="diffchange diffchange-inline">neigbourhood</del> in the sequence. Such a contact does not give any information, but rather leads to noise in the results. We are <del class="diffchange diffchange-inline">interessted</del> in the contacts that <del class="diffchange diffchange-inline">apear</del> because of the secondary and tertiary structure of the proteins. <del class="diffchange diffchange-inline">This</del> <del class="diffchange diffchange-inline">information,</del> <del class="diffchange diffchange-inline">we</del> <del class="diffchange diffchange-inline">get</del> from residues that have a greater distance in the sequence, but should be in contact in space <del class="diffchange diffchange-inline">acording</del> to their distance.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Not all predicted contacts are needed to predict structure from sequence. Residues that <ins class="diffchange diffchange-inline">lie</ins> close to each other in their primary structure, have automatically contact due to their direct <ins class="diffchange diffchange-inline">neighborhood</ins> in the sequence. Such a contact does not give<ins class="diffchange diffchange-inline"> us</ins> any information, but rather leads to noise in the results. We are <ins class="diffchange diffchange-inline">only interested</ins> in the contacts that <ins class="diffchange diffchange-inline">appear</ins> because of the secondary and tertiary structure of the proteins. <ins class="diffchange diffchange-inline">We</ins> <ins class="diffchange diffchange-inline">get</ins> <ins class="diffchange diffchange-inline">this</ins> <ins class="diffchange diffchange-inline">information</ins> from residues that have a greater distance in the sequence, but should be in contact in space <ins class="diffchange diffchange-inline">according</ins> to their distance.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<!-- diff cache key wikidb:diff:wikidiff2:1.12:old-38862:rev-38872:1.7.3:0 -->
</table>Kalemanovmhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38862&oldid=prevGerkej: /* Calculate Structural Models */2013-09-05T20:35:35Z<p><span dir="auto"><span class="autocomment">Calculate Structural Models</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 20:35, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 225:</td>
<td colspan="2" class="diff-lineno">Line 225:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|-</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Average RMSD (C<del class="diffchange diffchange-inline"> </del>alpha) of five models with the same score and number of constraints, generated by EVfold. </caption></small></center></div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><center><small>'''<caption>''' Average RMSD (C<ins class="diffchange diffchange-inline">-</ins>alpha) of five models with the same score and number of constraints, generated by EVfold. </caption></small></center></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></figtable></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
</table>Gerkejhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38832&oldid=prevGerkej: /* Calculate Structural Models */2013-09-05T18:38:00Z<p><span dir="auto"><span class="autocomment">Calculate Structural Models</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 18:38, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 204:</td>
<td colspan="2" class="diff-lineno">Line 204:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We compared different predicted structures to find the best prediction of Evfold. A great number of rmsds calculated from different predicted models were visualized in the picture on the right. <xr id="box"/> shows that, except for 32 contacts (~20%), all rmsd of PLM models are lower than those from DI models. An average of rmsd values dependent on the scores and constrains are listed in <xr id="rmsd"/>. As the average rmsd values for models with 32 contraints, are the worst rmsd of each score, we did not consider them anymore. A look into an alignment of those models with 121p affirmed our decision as the helices were arranged completly different. While PLM models with 129 constraints show the best similarity to the reference structer, the best aligned models with DI score consider only 97 constrains. But, both scores produce worse predictions by using 100% of contacts. In general, it is recommendable to use ~70% of contacts to predict a structure most similar to the original sequence.</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We compared different predicted structures to find the best prediction of Evfold. A great number of rmsds calculated from different predicted models were visualized in the picture on the right. <xr id="box"/> shows that, except for 32 contacts (~20%), all rmsd of PLM models are lower than those from DI models. An average of rmsd values dependent on the scores and constrains are listed in <xr id="rmsd"/>. As the average rmsd values for models with 32 contraints, are the worst rmsd of each score, we did not consider them anymore. A look into an alignment of those models with 121p affirmed our decision as the helices were arranged completly different. While PLM models with 129 constraints show the best similarity to the reference structer, the best aligned models with DI score consider only 97 constrains. But, both scores produce worse predictions by using 100% of contacts. In general, it is recommendable to use ~70% of contacts to predict a structure most similar to the original sequence.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We also looked at the alignment of the refernce structure to PLM model 129_4 and DI model 97_4 (in <xr id="align"/>). Both predicted structures have the best rmsd compared to the remaining models based on the same score. Not only from the rmsd value (2.62), but on the first sight it is obvious that the PLM score produced the better structure (<del class="diffchange diffchange-inline">see</del> <del class="diffchange diffchange-inline">gallery below</del>). While the PLM model (darkblue) predicts most helices and sheets, the DI model (red) cannot identify sheets but predicts them as loops. This is best observable for the three sheets at the bottom right in the two alignment pictures. Also the helices are more deviating from the reference structure (turquoise) than the ones of the PLM model. As the average rmsd value for the PLM models with 129 constrains (3.03) is better than even the best rmsd of all DI models (3.96), we will use the PLM score for future predictions.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We also looked at the alignment of the refernce structure to PLM model 129_4 and DI model 97_4 (in <xr id="align"/>). Both predicted structures have the best rmsd compared to the remaining models based on the same score. Not only from the rmsd value (2.62), but on the first sight it is obvious that the PLM score produced the better structure (<ins class="diffchange diffchange-inline"><xr</ins> <ins class="diffchange diffchange-inline">id="align"/></ins>). While the PLM model (darkblue) predicts most helices and sheets, the DI model (red) cannot identify sheets but predicts them as loops. This is best observable for the three sheets at the bottom right in the two alignment pictures. Also the helices are more deviating from the reference structure (turquoise) than the ones of the PLM model. As the average rmsd value for the PLM models with 129 constrains (3.03) is better than even the best rmsd of all DI models (3.96), we will use the PLM score for future predictions.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
</table>Gerkejhttps://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease:_Task_06_-_Protein_structure_prediction_from_evolutionary_sequence_variation&diff=38831&oldid=prevGerkej: /* Glucocerebrosidase */2013-09-05T18:36:56Z<p><span dir="auto"><span class="autocomment">Glucocerebrosidase</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 18:36, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 115:</td>
<td colspan="2" class="diff-lineno">Line 115:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="graphic_gluco" ></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><figure id="graphic_gluco" ></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><gallery caption="" widths="400px" heights="400px" perrow="2"></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><gallery caption="" widths="400px" heights="400px" perrow="2"></div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>File:gluco_dist.jpeg|Histogram of the distribution of CN scores for <del class="diffchange diffchange-inline">Glucocerebrosidase</del>. Only CN of residues with at least a distance of 5 residues were considered.</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>File:gluco_dist.jpeg|Histogram of the distribution of CN scores for <ins class="diffchange diffchange-inline">glucocerebrosidase</ins>. Only CN of residues with at least a distance of 5 residues were considered.</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>File:glucocerebrosidase_box.jpeg|Boxplot of the CN and states (TP/FP) of high scoring pairs of <del class="diffchange diffchange-inline">Glucocerebrosidase</del> (Pearson: 0.20).</div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>File:glucocerebrosidase_box.jpeg|Boxplot of the CN and states (TP/FP) of high scoring pairs of <ins class="diffchange diffchange-inline">glucocerebrosidase</ins> (Pearson: 0.20).</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></gallery></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div></gallery></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><small>'''<caption>''' Statistics of glucocerebrosidase. </caption></small></div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div><small>'''<caption>''' Statistics of glucocerebrosidase. </caption></small></div></td>
</tr>
<tr>
<td colspan="2" class="diff-lineno">Line 138:</td>
<td colspan="2" class="diff-lineno">Line 138:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>'''Hot Spots'''</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of <del class="diffchange diffchange-inline">Glucocrebrosidase</del> predicted by free contact are listed in <xr id="hot2"/> and visualised in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-Coffe alignment 1 ](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the uniprot sequence), is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher's disease. This valine as well as its direct neighbour cysteine seems to be very important to the structure and funktion of the protein. Together with the other non disease causing hot spots they form an densely packed hot spot area. </div></td>
<td class="diff-marker">+</td>
<td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The 10 best hot spots of <ins class="diffchange diffchange-inline">glucocrebrosidase</ins> predicted by free contact are listed in <xr id="hot2"/> and visualised in <xr id="hot_gluco"/>. All of these hot spots are located in a high conserved area (8 residues) or in striking distance (2 residues) of the [https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/images/e/e2/Set1_coffe.png T-Coffe alignment 1 ](alignment position 128-177). According to HGMD, three of these hot spots are disease causing. Especially the third hot spot which has position 15 in 1OGS.pdb (or 54 at the uniprot sequence), is delicate for a mutation. At this position, the mutation of valine to methionine or leucine causes in both cases the Gaucher's disease. This valine as well as its direct neighbour cysteine seems to be very important to the structure and funktion of the protein. Together with the other non disease causing hot spots they form an densely packed hot spot area. </div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (pdb position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (pdb position 53), both residues stabilizes two beta sheets. The two residues are each located in one strand and ly very close in the secondary structure. This two beta sheets play a significant role, as a different arangement of them causes Gaucher disease.</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For another residue phenylalanine (pdb position 37) the two databases HGMD and dbSNP partly agree with each other. While HGMD identifies this point mutation only as disease causing, dbSNP also documents a synonymous SNP here. Together with the disease causing mutation of methionine (pdb position 53), both residues stabilizes two beta sheets. The two residues are each located in one strand and ly very close in the secondary structure. This two beta sheets play a significant role, as a different arangement of them causes Gaucher disease.</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
</table>Gerkej