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Effect of using suboptimal alignments in template-based protein structure prediction
| Content Provider | Scilit |
|---|---|
| Author | Chen, Hao Kihara, Daisuke |
| Copyright Year | 2010 |
| Description | Journal: Proteins: Structure, Function, and Bioinformatics Computational protein structure prediction remains a challenging task in protein bioinformatics. In the recent years, the importance of template-based structure prediction is increasing because of the growing number of protein structures solved by the structural genomics projects. To capitalize the significant efforts and investments paid on the structural genomics projects, it is urgent to establish effective ways to use the solved structures as templates by developing methods for exploiting remotely related proteins that cannot be simply identified by homology. In this work, we examine the effect of using suboptimal alignments in template-based protein structure prediction. We showed that suboptimal alignments are often more accurate than the optimal one, and such accurate suboptimal alignments can occur even at a very low rank of the alignment score. Suboptimal alignments contain a significant number of correct amino acid residue contacts. Moreover, suboptimal alignments can improve template-based models when used as input to Modeller. Finally, we use suboptimal alignments for handling a contact potential in a probabilistic way in a threading program, SUPRB. The probabilistic contacts strategy outperforms the partly thawed approach, which only uses the optimal alignment in defining residue contacts, and also the re-ranking strategy, which uses the contact potential in re-ranking alignments. The comparison with existing methods in the template-recognition test shows that SUPRB is very competitive and outperforms existing methods. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3058269/pdf |
| Ending Page | 334 |
| Page Count | 20 |
| Starting Page | 315 |
| e-ISSN | 10970134 |
| DOI | 10.1002/prot.22885 |
| Journal | Proteins: Structure, Function, and Bioinformatics |
| Issue Number | 1 |
| Volume Number | 79 |
| Language | English |
| Publisher | Wiley-Blackwell |
| Publisher Date | 2010-11-05 |
| Access Restriction | Open |
| Subject Keyword | Journal: Proteins: Structure, Function, and Bioinformatics Mathematical and Computational Biology Ranking Alignments Based Protein Using Suboptimal Alignments |
| Content Type | Text |
| Resource Type | Article |
