2010 Fiscal Year Final Research Report
An exhaustive all-to-all protein-protein interaction prediction algorithm based on 3-D shape complimentarity and its statistical distribution on protein surface.
| Project/Area Number |
19300102
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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 |
Bioinformatics/Life informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
AKIYAMA Yutaka Tokyo Institute of Technology, 大学院・情報理工学研究科, 教授 (30243091)
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| Co-Investigator(Renkei-kenkyūsha) |
TSUKAMOTO Koki 産業技術総合研究所, 生命情報工学研究センター, 特別研究員 (90399501)
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| Project Period (FY) |
2007 – 2010
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| Keywords | コンピュータシミュレーション / 蛋白質 / ドッキング / 高性能計算 |
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| Research Abstract |
We have developed a novel computing method for rigid-body protein docking and applied it to Protein-Protein Interaction network prediction in systems biology. The original rPSC model uses only real numbers while ZDOCK's PSC uses complex numbers and then our method is four-times faster than ZDOCK without loss of sensitivity. We also proposed a method to dynamically change balance between shape complementarity and electrostatics. Total prediction accuracy is improved with clustering and reranking as post-processing.
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Research Products
(18 results)
