Discovery of anti-cancer effects of existing drugs by data-driven drug repositioning
| Project/Area Number |
15K14980
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Drug development chemistry
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
谷 憲三朗 東京大学, 医科学研究所, 特任教授 (00183864)
|
|---|
| Project Period (FY) |
2015-04-01 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2015: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
|---|
| Keywords | インシリコ創薬 / 既存薬再開発 / 適応拡大 / がん |
|---|
| Outline of Final Research Achievements |
In this study, we developed a method of drug repositioning for cancer (a drug discovery strategy to identify new effects of existing drugs for treatment of other diseases) based on large-scale data on drugs, genes, proteins and diseases. We performed a computational prediction of anticancer effects of drugs against various cancers, and investigate the prediction result by wet-lab experiment. We were able to confirm the validity of the predicted anticancer effects of some drugs through interaction with cancer therapeutic target molecules.
|
Report
(3 results)
Research Products
(6 results)
