| Project/Area Number |
25430186
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
System genome science
|
|---|
| Research Institution | National Institutes of Biomedical Innovation, Health and Nutrition |
|---|
Principal Investigator |
Mizuguchi Kenji 国立研究開発法人医薬基盤・健康・栄養研究所, 医薬基盤研究所 バイオインフォマティクスプロジェクト, プロジェクトリーダー (50450896)
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
MURAKAMI Yoichi 国立研究開発法人 医薬基盤・健康・栄養研究所, 医薬基盤研究所, プロジェクト研究員 (20548424)
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥5,460,000 (Direct Cost: ¥4,200,000、Indirect Cost: ¥1,260,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
|
|---|
| Keywords | データベース / 創薬ターゲット / タンパク質相互作用 |
|---|
| Outline of Final Research Achievements |
We have previously developed TargetMine, an integrated data warehouse for target prioritization. The current project aimed to integrate predicted annotations for protein functions and interactions into TargetMine and develop an in silico system for identifying drug targets and biomarkers. First, we have extended our methods for predicting DNA-binding proteins and DNA-binding residues, as well as protein interaction sites and interacting partners, applied these methods to the entire human proteome and constructed a system that can analyze both these predicted results and known annotations using TargetMine. We have then applied the integrated system to specific biological datasets, including mouse models for pulmonary diseases, and gained novel insights into the mechanisms of these diseases and novel pathways relevant for aging and inflammation.
|
