Improvement of target protein selection in NTDs based on large-scale protein structure prediction

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K16082
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Ishida Takashi 東京工業大学, 情報理工学院, 准教授 (40508355)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: トリパノソーマ寄生原虫症 / タンパク質立体構造予測 / 適合性フィードバック

Outline of Final Research Achievements

We constructed protein structure models for whole proteins encoded on genome of trypanosoma cruzi, which is a pathogenic agent of Chagas' disease, by using homology modeling technique. We also developed web-interface for accessing those structure models, and enabled drug discovery researchers to find more suitable target using protein structure information. In addition, we developed a new system to help the user find their demanded targets more efficiently based on relevance feedback and learning-to-rank.

Free Research Field

バイオインフォマティクス