Difference between revisions of "Homology-based structure prediction (PKU)"

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==Short Task Description==
 
==Short Task Description==
After the sequence based predictions of [[Sequence-based predictions (PKU)|function and secondary structure]] for our protein we will determine the 3D structure of the wild type protein and pbserve the influence one or several SNPs have on this structure. Of the variety of methods to be used for tertiary structure prediction, we choose homology modeling as a first approach to our goal. Read the complete task description [[Task_homologyModelling|here]]. The protocol of commands and scropts can be found in our [[Journal_Task3_PKU|journal]]
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After the sequence based predictions of [[Sequence-based predictions (PKU)|function and secondary structure]] for our protein we will determine the 3D structure of the wild type protein and observe the influence one or several SNPs have on this structure. Of the variety of methods to be used for tertiary structure prediction, we choose homology modeling as a first approach to our goal. Read the complete task description [[Task_homologyModelling|here]]. The protocol of commands and scripts can be found in our [[Journal_Task3_PKU|journal]]
   
 
==Model Construction==
 
==Model Construction==

Revision as of 09:53, 25 May 2012

Short Task Description

After the sequence based predictions of function and secondary structure for our protein we will determine the 3D structure of the wild type protein and observe the influence one or several SNPs have on this structure. Of the variety of methods to be used for tertiary structure prediction, we choose homology modeling as a first approach to our goal. Read the complete task description here. The protocol of commands and scripts can be found in our journal

Model Construction

Here we will show the steps we took building the models we then use and evaluate. In order to start the sheer model-building we first have to construct some datasets, which will be the founding of our models.

Datasets

Modelevaluation