药物发现
重新调整用途
药物重新定位
计算机科学
钥匙(锁)
Boosting(机器学习)
鉴定(生物学)
计算生物学
药品
药物开发
数据科学
生物
机器学习
药理学
生物信息学
计算机安全
生态学
植物
作者
José L. Medina‐Franco,Marc A. Giulianotti,Gregory S. Welmaker,Richard A. Houghten
标识
DOI:10.1016/j.drudis.2013.01.008
摘要
Increasing evidence that several drug compounds exert their effects through interactions with multiple targets is boosting the development of research fields that challenge the data reductionism approach. In this article, we review and discuss the concepts of drug repurposing, polypharmacology, chemogenomics, phenotypic screening and high-throughput in vivo testing of mixture-based libraries in an integrated manner. These research fields offer alternatives to the current paradigm of drug discovery, from a one target–one drug model to a multiple-target approach. Furthermore, the goals of lead identification are being expanded accordingly to identify not only ‘key’ compounds that fit with a single-target ‘lock’, but also ‘master key’ compounds that favorably interact with multiple targets (i.e. operate a set of desired locks to gain access to the expected clinical effects).
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