药物发现
优先次序
计算机科学
过程(计算)
风险分析(工程)
计算生物学
数据科学
药品
钥匙(锁)
业务流程发现
生物信息学
过程管理
生物
计算机安全
医学
工程类
在制品
药理学
运营管理
业务流程
操作系统
业务流程建模
标识
DOI:10.1016/j.chembiol.2021.01.010
摘要
Summary
Phenotypic drug discovery (PDD) uses biological systems directly for new drug screening. While PDD has proved effective in the discovery of drugs with novel mechanisms, for broader adoption, key challenges need resolution: progression of poorly qualified leads and overloaded pipelines due to lack of effective tools to process and prioritize hits; and advancement of leads with undesirable mechanisms that fail at more expensive stages of discovery. Here I discuss how human-based phenotypic platforms are being applied throughout the discovery process for hit triage and prioritization, for elimination of hits with unsuitable mechanisms, and for supporting clinical strategies through pathway-based decision frameworks. Harnessing the data generated in these platforms can also fuel a deeper understanding of drug efficacy and toxicity mechanisms. As these approaches increase in use, they will gain in power for driving better decisions, generating better leads faster and in turn promoting greater adoption of PDD.
科研通智能强力驱动
Strongly Powered by AbleSci AI