工作流程
药物重新定位
计算机科学
数据科学
药物发现
人类疾病
疾病
药品
计算生物学
医学
生物信息学
生物
数据库
药理学
病理
作者
Mugdha Khaladkar,Gautier Koscielny,Samiul Hasan,Pankaj Agarwal,Ian Dunham,Deepak K. Rajpal,Philippe Sanséau
标识
DOI:10.1016/j.drudis.2017.09.007
摘要
The recently developed Open Targets platform consolidates a wide range of comprehensive evidence associating known and potential drug targets with human diseases. We have harnessed the integrated data from this platform for novel drug repositioning opportunities. Our computational workflow systematically mines data from various evidence categories and presents potential repositioning opportunities for drugs that are marketed or being investigated in ongoing human clinical trials, based on evidence strength on target–disease pairing. We classified these novel target–disease opportunities in several ways: (i) number of independent counts of evidence; (ii) broad therapy area of origin; and (iii) repositioning within or across therapy areas. Finally, we elaborate on one example that was identified by this approach.
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