Task 5: Homology Modeling
1A6Z chain A was used as modeling target in all three methods.
Modeller
We used Modeller to create models based on a single template and multiple templates.
Single template
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<figtable id="Modeller single">
Template | Seq. identity | std Alignment | 2d alignment | curated Alignment | |||
---|---|---|---|---|---|---|---|
TM score | RMSD | TM score | RMSD | TM score | RMSD | ||
1QVO_A | 39% | ||||||
1S7X_A | 29% | ||||||
1cd1_A | 21% |
</figtable>
<xr id="Modeller single"/> lists the selected templates and the Modeller results for the different template structures and alignment methods. In addition to the standard pairwise sequence alignment based on dynamic programming, we also used Modeller's alignment.alig2dn() method to improve the alignment by including secondary structure information and improved the alignments manually.
MSA:
"close" homology | |
1rjz_D | 0.34 |
1zag_A | 0.36 |
1QVO_A | 0.39 |
distant homology: | |
3huj_C | 0.23 |
1cd1_A | 0.21 |
1VZY_A | 0.14 |
MIX: |
1cd1_A 0.21 |
1QVO_A 0.39 |