假阳性悖论
药物发现
高通量筛选
鉴定(生物学)
计算生物学
合理设计
筛选技术
计算机科学
化学
组合化学
生物信息学
纳米技术
生物
机器学习
生物化学
材料科学
植物
作者
Ziyi Yang,Jun-Hong He,Aiping Lü,Tingjun Hou,Dongsheng Cao
标识
DOI:10.1016/j.drudis.2020.01.014
摘要
One of the major challenges in early drug discovery is the recognition of frequent hitters (FHs), that is, compounds that nonspecifically bind to a range of macromolecular targets or false positives caused by various types of assay interferences. In this review, we survey the mechanisms underlying different types of FHs, including aggregators, spectroscopic interference compounds (i.e., luciferase inhibitors and fluorescent compounds), chemical reactive compounds, and promiscuous compounds. We also review commonly used experimental detection techniques and computational prediction models for FH identification. In addition, the rational applications of these computational filters are discussed. It is believed that, with the rational use of FH filters, the efficiency of drug discovery will be significantly improved.
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