药物发现
还原论
表型筛选
计算生物学
数据科学
疾病
药品
临床表型
表型
生物
计算机科学
工程伦理学
生物信息学
医学
药理学
认识论
遗传学
工程类
基因
哲学
病理
作者
Fabien Vincent,Arsenio Nueda,Jonathan Lee,Monica Schenone,Marco Prunotto,Mark Mercola
标识
DOI:10.1038/s41573-022-00472-w
摘要
Many drugs, or their antecedents, were discovered through observation of their effects on normal or disease physiology. For the past generation, this phenotypic drug discovery approach has been largely supplanted by the powerful but reductionist approach of modulating specific molecular targets of interest. Nevertheless, modern phenotypic drug discovery, which combines the original concept with modern tools and strategies, has re-emerged over the past decade to systematically pursue drug discovery based on therapeutic effects in realistic disease models. Here, we discuss recent successes with this approach, as well as consider ongoing challenges and approaches to address them. We also explore how innovation in this area may fuel the next generation of successful projects. Phenotypic drug discovery has re-emerged over the past decade as an approach to systematically pursue drug discovery based on therapeutic effects in realistic disease models. This article discusses recent successes with this approach, and considers ongoing challenges and strategies to address them.
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