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Gaucher Disease - Task 06 - Lab Journal - Revision history
2024-03-29T02:32:15Z
Revision history for this page on the wiki
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Kalemanovm: moved Task 06 - Lab Journal to Gaucher Disease - Task 06 - Lab Journal: consistency
2013-09-05T23:32:31Z
<p>moved <a href="/wiki/index.php/Task_06_-_Lab_Journal" class="mw-redirect" title="Task 06 - Lab Journal">Task 06 - Lab Journal</a> to <a href="/wiki/index.php/Gaucher_Disease_-_Task_06_-_Lab_Journal" title="Gaucher Disease - Task 06 - Lab Journal">Gaucher Disease - Task 06 - Lab Journal</a>: consistency</p>
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<td colspan="1" style="background-color: #fff; color: #222; text-align: center;">Revision as of 23:32, 5 September 2013</td>
</tr><tr><td colspan="2" class="diff-notice" lang="en"><div class="mw-diff-empty">(No difference)</div>
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Kalemanovm
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38875&oldid=prev
Kalemanovm: /* 2. Calculate and analyze correlated mutations */
2013-09-05T22:33:53Z
<p><span dir="auto"><span class="autocomment">2. Calculate and analyze correlated mutations</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 22:33, 5 September 2013</td>
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<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> freecontact --parprof evfold < ras.aln > ras_contacts.out</div></td>
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<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> freecontact --parprof evfold < ras.aln > ras_contacts.out</div></td>
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<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></code></div></td>
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<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></code></div></td>
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<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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence <del class="diffchange diffchange-inline">neighbours</del> were removed. The remaining pairs were ranked according to their CN values with [[Script_rank_contacts.py|rank_contacts.py]].</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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence <ins class="diffchange diffchange-inline">neighbors</ins> were removed. The remaining pairs were ranked according to their CN values with [[Script_rank_contacts.py|rank_contacts.py]].</div></td>
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<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>
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<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>'''3.''' An <del class="diffchange diffchange-inline">Analysed</del> of <del class="diffchange diffchange-inline">its</del> distribution and range of scores was done by R.</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>'''3.''' An <ins class="diffchange diffchange-inline">analysis</ins> of <ins class="diffchange diffchange-inline">the</ins> distribution and range of scores was done by R.</div></td>
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<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><code></div></td>
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<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><code></div></td>
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<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> quantile(cn_scores)</div></td>
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<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> quantile(cn_scores)</div></td>
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<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></code></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></code></div></td>
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<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>
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<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>
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<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>'''4.''' All pairs of predicted and filtered contacts with a CN>1 were taken as high scoring pairs. These high scoring pairs were checked against the real contacts of the <del class="diffchange diffchange-inline">pdb</del> file (HRas: 121p.pdb [http://pfam.sanger.ac.uk/family/Ras], glucocerebrosidase: 1OGS.pdb). The program [[Script_distance_check.py|distance_check.py]] needs a file formatted like a freecontact output that contains the high scoring <del class="diffchange diffchange-inline">paires</del>, as well as a pdb file of the reference structure.</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>'''4.''' All pairs of predicted and filtered contacts with a CN>1 were taken as high scoring pairs. These high scoring pairs were checked against the real contacts of the <ins class="diffchange diffchange-inline">PDB</ins> file (HRas: 121p.pdb [http://pfam.sanger.ac.uk/family/Ras], glucocerebrosidase: 1OGS.pdb). The program [[Script_distance_check.py|distance_check.py]] needs a file formatted like a freecontact output that contains the high scoring <ins class="diffchange diffchange-inline">pais</ins>, as well as a pdb file of the reference structure.</div></td>
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<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>
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<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 program stores the coordinates of all atoms documented in the <del class="diffchange diffchange-inline">pdb</del> file. Then it calculates the distance of all high scoring pairs by using the euclidean distance. In case any atoms of two amino acids have a distance less than <del class="diffchange diffchange-inline">5A</del> the contact is <del class="diffchange diffchange-inline">right</del> predicted. Otherwise, it is classified as FP. The resulting file contains all information about the high scoring pairs including <del class="diffchange diffchange-inline">its</del> <del class="diffchange diffchange-inline">state</del> (TP or FP).</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 program stores the coordinates of all atoms documented in the <ins class="diffchange diffchange-inline">PDB</ins> file. Then it calculates the distance of all high scoring pairs by using the euclidean distance. In case any atoms of two amino acids have a distance less than <ins class="diffchange diffchange-inline">5&Aring;</ins> the contact is <ins class="diffchange diffchange-inline">correctly</ins> predicted. Otherwise, it is classified as FP. The resulting file contains all information about the high scoring pairs including <ins class="diffchange diffchange-inline">their</ins> <ins class="diffchange diffchange-inline">states</ins> (TP or FP).</div></td>
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<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>
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<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>
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<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 glucocerebrosidase we had to map the positions of the <del class="diffchange diffchange-inline">prediceted</del> contacts to the residue positions of 1OGS.pdb. The first amino acid of the pdb file has the position 40 in the predicted contacts. We considered this shift in the comparison between predicted and real contacts as well as in the following analyses.</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 glucocerebrosidase we had to map the positions of the <ins class="diffchange diffchange-inline">predicted</ins> contacts to the residue positions of 1OGS.pdb. The first amino acid of the pdb file has the position 40 in the predicted contacts. We considered this shift in the comparison between predicted and real contacts as well as in the following analyses.</div></td>
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<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>
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<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>'''5.''' To <del class="diffchange diffchange-inline">identifiy</del> a possible correlation a Pearson Correlation was calculated between the scores and their state (TP/FP) in R.</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>'''5.''' To <ins class="diffchange diffchange-inline">identify</ins> a possible correlation a Pearson Correlation was calculated between the scores and their state (TP/FP) in R.</div></td>
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<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>
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<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> values=data.frame(c(CN,state))</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> values=data.frame(c(CN,state))</div></td>
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<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> cor(values,method="pearson")</div></td>
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<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> cor(values,method="pearson")</div></td>
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<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>
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<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>'''6.''' All high scoring pairs were <del class="diffchange diffchange-inline">visualised</del> in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the <del class="diffchange diffchange-inline">pdb</del> file that are lower than 5Å were determined (by [[Scrip_pdb_distance_check.py|pdb_distance_check.py]]). The pdb contacts which were not predicted as high scoring pairs (FN) are <del class="diffchange diffchange-inline">coloured</del> lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </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>'''6.''' All high scoring pairs were <ins class="diffchange diffchange-inline">visualized</ins> in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the <ins class="diffchange diffchange-inline">PDB</ins> file that are lower than 5Å were determined (by [[Scrip_pdb_distance_check.py|pdb_distance_check.py]]). The pdb contacts which were not predicted as high scoring pairs (FN) are <ins class="diffchange diffchange-inline">colored</ins> lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </div></td>
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<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>
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<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>'''7.''' After that the file containing all contacts filtered in step 2. was parsed with [[Script_calc_hotspot.py|calc_hotspot.py]] to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</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>'''7.''' After that the file containing all contacts filtered in step 2. was parsed with [[Script_calc_hotspot.py|calc_hotspot.py]] to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</div></td>
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<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>
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<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>
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<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 [http://evfold.org/evfold-web/newmarkec.do <del class="diffchange diffchange-inline">EVcoupling</del> server] was run for both proteins to <del class="diffchange diffchange-inline">campare</del> the 50 hot spot. The number of residues predicted as hotspots by both programs were counted to get the overlap of the 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>The [http://evfold.org/evfold-web/newmarkec.do <ins class="diffchange diffchange-inline">EVcouplings</ins> server] was run for both proteins to <ins class="diffchange diffchange-inline">compare</ins> the 50 hot spot. The number of residues predicted as hotspots by both programs were counted to get the overlap of the predictions.</div></td>
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<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>
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<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>
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<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>For running EVcouplings with glucocerebrosidase we took the residues 40-536 which correspond to the residues 1-497 in 1OGS.pdb. Another reason for that was the limited sequence size. EVcouplings only calculates domains with size <500 amino acids.</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 running EVcouplings with glucocerebrosidase we took the residues 40-536 which correspond to the residues 1-497 in 1OGS.pdb. Another reason for that was the limited sequence size. EVcouplings only calculates domains with size <500 amino acids.</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>For searching after disease causing mutations of glucocerbrosidase we used the HGMD database</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 searching after disease causing mutations of glucocerbrosidase we used the HGMD database<ins class="diffchange diffchange-inline">.</ins></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>
Kalemanovm
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38874&oldid=prev
Kalemanovm: /* 2. Calculate and analyze correlated mutations */
2013-09-05T22:18:33Z
<p><span dir="auto"><span class="autocomment">2. Calculate and analyze correlated mutations</span></span></p>
<table class="diff diff-contentalign-left" data-mw="interface">
<col class="diff-marker" />
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<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 22:18, 5 September 2013</td>
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<td colspan="2" class="diff-lineno">Line 32:</td>
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<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> freecontact --parprof evfold < ras.aln > ras_contacts.out</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> freecontact --parprof evfold < ras.aln > ras_contacts.out</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></code></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></code></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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked to <del class="diffchange diffchange-inline">its</del> CN values with [[Script_rank_contacts.py|rank_contacts.py]].</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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked<ins class="diffchange diffchange-inline"> according</ins> to <ins class="diffchange diffchange-inline">their</ins> CN values with [[Script_rank_contacts.py|rank_contacts.py]].</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>'''3.''' An Analysed of its distribution and range of scores was done by R.</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>'''3.''' An Analysed of its distribution and range of scores was done by R.</div></td>
</tr>
</table>
Kalemanovm
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38863&oldid=prev
Gerkej: /* Calculate Structural Models */
2013-09-05T20:36:07Z
<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 20:36, 5 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 81:</td>
<td colspan="2" class="diff-lineno">Line 81:</td>
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<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>[[P01112 EVfold Configuration PLM| Configurations EVfold with PLM]]</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>[[P01112 EVfold Configuration PLM| Configurations EVfold with PLM]]</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>Evfold generated five models for every score and constraint combination. For all these models we calculated the RMSD of the C<del class="diffchange diffchange-inline"> </del>alpha atoms with pymol. All RMSD were visualizd in a boxplot. We took the average of all five models with the same score and constraint number to compare the performances. Of each score we aligned the best prediction to our orignial structure of HRas 121p.</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>Evfold generated five models for every score and constraint combination. For all these models we calculated the RMSD of the C<ins class="diffchange diffchange-inline">-</ins>alpha atoms with pymol. All RMSD were visualizd in a boxplot. We took the average of all five models with the same score and constraint number to compare the performances. Of each score we aligned the best prediction to our orignial structure of HRas 121p.</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>'''All RMSDs'''</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>'''All RMSDs'''</div></td>
</tr>
</table>
Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38343&oldid=prev
Gerkej: /* 2. Calculate and analyze correlated mutations */
2013-09-03T20:02:11Z
<p><span dir="auto"><span class="autocomment">2. 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 20:02, 3 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 52:</td>
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<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>'''6.''' All high scoring pairs were visualised in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the pdb file that are lower than 5Å were determined (by [[Scrip_pdb_distance_check.py|pdb_distance_check.py]]). The pdb contacts which were not predicted as high scoring pairs (FN) are coloured lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </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>'''6.''' All high scoring pairs were visualised in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the pdb file that are lower than 5Å were determined (by [[Scrip_pdb_distance_check.py|pdb_distance_check.py]]). The pdb contacts which were not predicted as high scoring pairs (FN) are coloured lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </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>'''7.''' After that the<del class="diffchange diffchange-inline"> filtered_ras_contact.out</del> file was parsed with <del class="diffchange diffchange-inline"><code></del>calc_hotspot.py<del class="diffchange diffchange-inline"></code></del> to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</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>'''7.''' After that the file<ins class="diffchange diffchange-inline"> containing all contacts filtered in step 2.</ins> was parsed with <ins class="diffchange diffchange-inline">[[Script_calc_hotspot.py|</ins>calc_hotspot.py<ins class="diffchange diffchange-inline">]]</ins> to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</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>The [http://evfold.org/evfold-web/newmarkec.do EVcoupling server] was run for both proteins to campare the 50 hot spot. The number of residues predicted as hotspots by both programs were counted to get the overlap of the predictions.</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 [http://evfold.org/evfold-web/newmarkec.do EVcoupling server] was run for both proteins to campare the 50 hot spot. The number of residues predicted as hotspots by both programs were counted to get the overlap of the predictions.</div></td>
</tr>
</table>
Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38341&oldid=prev
Gerkej: /* 2. Calculate and analyze correlated mutations */
2013-09-03T19:56:04Z
<p><span dir="auto"><span class="autocomment">2. 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 19:56, 3 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 50:</td>
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<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> cor(values,method="pearson")</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> cor(values,method="pearson")</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>'''6.''' All high scoring pairs were visualised in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the pdb file that are lower than 5Å were determined (by <del class="diffchange diffchange-inline"><code>/</del>pdb_distance_check.py<del class="diffchange diffchange-inline"></code></del>). The pdb contacts which were not predicted as high scoring pairs (FN) are coloured lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </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>'''6.''' All high scoring pairs were visualised in a contact map with R (<code>contact_map.R</code>). First of all, the distances of the pdb file that are lower than 5Å were determined (by <ins class="diffchange diffchange-inline">[[Scrip_pdb_distance_check.py|</ins>pdb_distance_check.py<ins class="diffchange diffchange-inline">]]</ins>). The pdb contacts which were not predicted as high scoring pairs (FN) are coloured lightblue in the contact map. The calculated high scoring pairs and their state can be seen in darkblue (TP) and red (FP). </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>'''7.''' After that the filtered_ras_contact.out file was parsed with <code>calc_hotspot.py</code> to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</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>'''7.''' After that the filtered_ras_contact.out file was parsed with <code>calc_hotspot.py</code> to calculate the hotspot residues. The program gets L (sequence length) high scoring pairs with the highest scores as input. From these pairs the program sums the scores of each residue and normalizes it with the average of all top L scores. All normalized residue scores are summarized in <code>hot_spots.txt</code>.</div></td>
</tr>
</table>
Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38334&oldid=prev
Gerkej: /* 2. Calculate and analyze correlated mutations */
2013-09-03T19:40:24Z
<p><span dir="auto"><span class="autocomment">2. 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 19:40, 3 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 32:</td>
<td colspan="2" class="diff-lineno">Line 32:</td>
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<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> freecontact --parprof evfold < ras.aln > ras_contacts.out</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> freecontact --parprof evfold < ras.aln > ras_contacts.out</div></td>
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<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></code></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></code></div></td>
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<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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked to its CN values with <del class="diffchange diffchange-inline">(</del>[[Script_rank_contacts.py|rank_contacts.py]]<del class="diffchange diffchange-inline">)</del>.</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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked to its CN values with [[Script_rank_contacts.py|rank_contacts.py]].</div></td>
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<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>
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<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><code></div></td>
<td colspan="2" class="diff-empty"> </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> python rank_contacts.py ras_contacts.out filtered_ras_contact.out</div></td>
<td colspan="2" class="diff-empty"> </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></code></div></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;"><div>'''3.''' An Analysed of its distribution and range of scores was done by R.</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>'''3.''' An Analysed of its distribution and range of scores was done by R.</div></td>
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<td colspan="2" class="diff-lineno">Line 39:</td>
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<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></code></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></code></div></td>
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<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-empty"> </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>'''4.''' All pairs of predicted and filtered contacts with a CN>1 were taken as high scoring pairs. These high scoring pairs were checked against the real contacts of the pdb file (HRas: 121p.pdb [http://pfam.sanger.ac.uk/family/Ras], glucocerebrosidase: 1OGS.pdb). The program [[Script_distance_check.py|distance_check.py]] needs a file formatted like a freecontact output that contains the high scoring paires, as well as a pdb file of the reference structure.</div></td>
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<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="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>'''4.''' All pairs of predicted and filtered contacts with a CN>1 were taken as high scoring pairs. These high scoring pairs were checked against the real contacts of the pdb file (HRas: 121p.pdb [http://pfam.sanger.ac.uk/family/Ras], glucocerebrosidase: 1OGS.pdb).</div></td>
<td colspan="2" class="diff-empty"> </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="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><code></div></td>
<td colspan="2" class="diff-empty"> </td>
</tr>
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<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> python distance_check.py filtered_ras_contact.out 121p.pdb</div></td>
<td colspan="2" class="diff-empty"> </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></code></div></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;"><div>The program stores the coordinates of all atoms documented in the pdb file. Then it calculates the distance of all high scoring pairs by using the euclidean distance. In case any atoms of two amino acids have a distance less than 5A the contact is right predicted. Otherwise, it is classified as FP. The resulting file contains all information about the high scoring pairs including its state (TP or FP).</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 program stores the coordinates of all atoms documented in the pdb file. Then it calculates the distance of all high scoring pairs by using the euclidean distance. In case any atoms of two amino acids have a distance less than 5A the contact is right predicted. Otherwise, it is classified as FP. The resulting file contains all information about the high scoring pairs including its state (TP or FP).</div></td>
</tr>
</table>
Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38330&oldid=prev
Gerkej: /* 2. Calculate and analyze correlated mutations */
2013-09-03T19:21:02Z
<p><span dir="auto"><span class="autocomment">2. 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 19:21, 3 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 32:</td>
<td colspan="2" class="diff-lineno">Line 32:</td>
</tr>
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<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> freecontact --parprof evfold < ras.aln > ras_contacts.out</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> freecontact --parprof evfold < ras.aln > ras_contacts.out</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></code></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></code></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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked to its CN values.</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>'''2.''' All pairs with an smaller distance than 5 residues to its sequence neighbours were removed. The remaining pairs were ranked to its CN values<ins class="diffchange diffchange-inline"> with ([[Script_rank_contacts.py|rank_contacts.py]])</ins>.</div></td>
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<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>
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<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><code></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><code></div></td>
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Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38307&oldid=prev
Gerkej: /* Calculate Structural Models */
2013-09-03T16:40:54Z
<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 16:40, 3 September 2013</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 86:</td>
<td colspan="2" class="diff-lineno">Line 86:</td>
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<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>* 32 residues (20%)</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>* 32 residues (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;"></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>[[P01112 <del class="diffchange diffchange-inline">EVcouplings</del> Configuration DI| Configurations <del class="diffchange diffchange-inline">EVcouplings</del> with DI]]</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>[[P01112 <ins class="diffchange diffchange-inline">EVfold</ins> Configuration DI| Configurations <ins class="diffchange diffchange-inline">EVfold</ins> with DI]]</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>[[P01112 <del class="diffchange diffchange-inline">EVcouplings</del> Configuration PLM| Configurations <del class="diffchange diffchange-inline">EVcouplings</del> with PLM]]</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>[[P01112 <ins class="diffchange diffchange-inline">EVfold</ins> Configuration PLM| Configurations <ins class="diffchange diffchange-inline">EVfold</ins> with PLM]]</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>Evfold generated five models for every score and constraint combination. For all these models we calculated the RMSD of the C alpha atoms with pymol. All RMSD were visualizd in a boxplot. We took the average of all five models with the same score and constraint number to compare the performances. Of each score we aligned the best prediction to our orignial structure of HRas 121p.</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>Evfold generated five models for every score and constraint combination. For all these models we calculated the RMSD of the C alpha atoms with pymol. All RMSD were visualizd in a boxplot. We took the average of all five models with the same score and constraint number to compare the performances. Of each score we aligned the best prediction to our orignial structure of HRas 121p.</div></td>
</tr>
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Gerkej
https://i12r-studfilesrv.informatik.tu-muenchen.de/wiki/index.php?title=Gaucher_Disease_-_Task_06_-_Lab_Journal&diff=38306&oldid=prev
Gerkej: /* Calculate Structural Models */
2013-09-03T16:40:20Z
<p><span dir="auto"><span class="autocomment">Calculate Structural Models</span></span></p>
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<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 16:40, 3 September 2013</td>
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<td colspan="2" class="diff-lineno">Line 101:</td>
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<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> 5 7.903 5.130 5.318 4.805 5.568</div></td>
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<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> 5 7.903 5.130 5.318 4.805 5.568</div></td>
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<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>
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<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> model plm32 plm64 plm97 plm129 plm161</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> model plm32<ins class="diffchange diffchange-inline"> </ins> plm64<ins class="diffchange diffchange-inline"> </ins> plm97<ins class="diffchange diffchange-inline"> </ins> plm129<ins class="diffchange diffchange-inline"> </ins> plm161</div></td>
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<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><del class="diffchange diffchange-inline"> </del>1 14.546 4.625 2.834 2.794 2.926</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><ins class="diffchange diffchange-inline"> </ins>1<ins class="diffchange diffchange-inline"> </ins> 14.546<ins class="diffchange diffchange-inline"> </ins> 4.625<ins class="diffchange diffchange-inline"> </ins> 2.834<ins class="diffchange diffchange-inline"> </ins> 2.794<ins class="diffchange diffchange-inline"> </ins> 2.926</div></td>
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<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><del class="diffchange diffchange-inline"> </del>2 6.291 3.861 3.303 2.896 3.951</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><ins class="diffchange diffchange-inline"> </ins>2<ins class="diffchange diffchange-inline"> </ins> 6.291<ins class="diffchange diffchange-inline"> </ins> 3.861<ins class="diffchange diffchange-inline"> </ins> 3.303<ins class="diffchange diffchange-inline"> </ins> 2.896<ins class="diffchange diffchange-inline"> </ins> 3.951</div></td>
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<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><del class="diffchange diffchange-inline"> </del>3 6.885 4.149 3.843 3.254 3.387</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><ins class="diffchange diffchange-inline"> </ins>3<ins class="diffchange diffchange-inline"> </ins> 6.885<ins class="diffchange diffchange-inline"> </ins> 4.149<ins class="diffchange diffchange-inline"> </ins> 3.843<ins class="diffchange diffchange-inline"> </ins> 3.254<ins class="diffchange diffchange-inline"> </ins> 3.387</div></td>
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<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><del class="diffchange diffchange-inline"> </del>4 7.082 4.326 2.952 2.623 3.165</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><ins class="diffchange diffchange-inline"> </ins>4<ins class="diffchange diffchange-inline"> </ins> 7.082<ins class="diffchange diffchange-inline"> </ins> 4.326<ins class="diffchange diffchange-inline"> </ins> 2.952<ins class="diffchange diffchange-inline"> </ins> 2.623<ins class="diffchange diffchange-inline"> </ins> 3.165</div></td>
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<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><del class="diffchange diffchange-inline"> </del>5 14.797 4.168 3.255 3.569 3.683</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><ins class="diffchange diffchange-inline"> </ins>5<ins class="diffchange diffchange-inline"> </ins> 14.797<ins class="diffchange diffchange-inline"> </ins> 4.168<ins class="diffchange diffchange-inline"> </ins> 3.255<ins class="diffchange diffchange-inline"> </ins> 3.569<ins class="diffchange diffchange-inline"> </ins> 3.683</div></td>
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Gerkej