1999 Fiscal Year Final Research Report Summary
Statistical Mechanical Approach to Protein Folding Problem
| Project/Area Number |
09440147
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
物性一般(含基礎論)
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| Research Institution | Nagoya University |
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Principal Investigator |
SASAI Masaki Nagoya University, Graduate School of Human Informatics, Prof., 大学院・人間情報学研究科, 教授 (30178628)
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| Co-Investigator(Kenkyū-buntansha) |
YOMO Tetsuya Osaka University, Graduate School of Engineering, Associ. Prof., 大学院・工学研究科, 助教授 (00222399)
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| Project Period (FY) |
1997 – 1999
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| Keywords | Simulated Evolution / Protein Folding / Spin Glass / Random Peptide / In Vitro Evolution |
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| Research Abstract |
How can we be relieved from the massive search for polypeptides capable of folding into unique structures from all possible sequences? Using a computer model, the successive functional selections from random polypeptides were carried out such that the given active sites of the polypeptide evolved to frequently take the configuration required for a binding activity. Only with the constraint on the local configuration of the active sites, global protein-like structures gradually evolved along with foldability, helicity and compactness within 200 generations. Out of the 15 different initial random sequences five evolved to give different protein-like structures, indicating that a significant fraction of sequences can have the protein-like structures within a short span. Therefore, functional selection on local configuration alleviates the exhaustive search for well-organized protein-like structures in the sequence space.
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