|
|
马上注册，结交更多好友，下载更多分子模拟资源。
您需要 登录 才可以下载或查看，没有帐号？我想注册
x
| Computational Drug Repositioning: From Data to Therapeutics |
Traditionally, most drugs have been discovered using phenotypic or target-based screens. Subsequently, their indications are often expanded on the basis of clinical observations, providing additional benefit to patients. This review highlights computational techniques for systematic analysis of transcriptomics (Connectivity Map, CMap), side effects, and genetics (genome-wide association study, GWAS) data to generate new hypotheses for additional indications. We also discuss data domains such as electronic health records (EHRs) and phenotypic screening that we consider promising for novel computational repositioning methods.
计算机辅助的药物设计改何去何从,客官们,请看此处综述！
nature publishing group
Clinical Pharmacology & Therapeutics, 2013, 93(4): 335–341 |
|
窥视卡
雷达卡
发表于 2013-3-31 12:59:55
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
千斤顶
显身卡
楼主
