Name
Title | ||
|---|---|---|
Sequence-structure specificity of a knowledge based energy function at the secondary structure level. |
Abstract | ||
|---|---|---|
Motivation: This paper investigates the sequence-structure specificity of a representative knowledge based energy function by applying if to threading at the level of secondary structures of proteins. Assessing the strengths and weaknesses of an energy function at this fundamental level provides more detailed and insightful information than at the tertiary structure level and the results obtained can be useful in tertiary level threading. Results: We threaded each of the 293 non-redundant proteins onto the secondary structures contained in its respective native protein (host template). We also used 68 pairs of proteins with similar folds and low sequence identity For each pair we threaded the sequence of one protein onto the secondary structures of the other protein. The discerning power of the total energy function and its one-body, pairwise, and mutation components is studied. We then Applied our energy function to a recent study which demonstrated how a designed 11-amino acid sequence can replace distinct segments (one segment is an a-helix, the other is a beta-sheet) of a protein without changing its fold. We conducted random mutations of the designed sequence to determine the patterns for favorable mutations. We also studied the sequence-structure specificity at the boundaries of a secondary structure. Finally, we demonstrated how to speed up tertiary level threading by filtering out alignments found to be energetically unfavorable during the secondary structure threading. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1093/bioinformatics/16.3.257 | BIOINFORMATICS |
Keywords | Field | DocType |
secondary structure,amino acid sequence,knowledge base | Pairwise comparison,Protein tertiary structure,Computer science,Threading (protein sequence),Threading (manufacturing),Filter (signal processing),Bioinformatics,Protein secondary structure,Mutation | Journal |
Volume | Issue | ISSN |
16 | 3 | 1367-4803 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Xu | 1 | 405 | 39.37 |
| M A Unseren | 2 | 2 | 1.79 |
| Ying Xu | 3 | 179 | 26.64 |
| Edward C. Uberbacher | 4 | 221 | 86.43 |