An Analysis of Successful Hit-to-Clinical Candidate Pairs

虚拟筛选 药效团 化学 临床毒理学 计算生物学 立体化学 毒理 生物
作者
Dean G. Brown
出处
期刊:Journal of Medicinal Chemistry [American Chemical Society]
卷期号:66 (11): 7101-7139 被引量:47
标识
DOI:10.1021/acs.jmedchem.3c00521
摘要

between 2018 and 2021 was conducted to identify lead generation strategies most frequently employed leading to drug candidates. As in a previous publication, the most frequent lead generation strategies resulting in clinical candidates were from known compounds (59%) followed by random screening approaches (21%). The remainder of the approaches included directed screening, fragment screening, DNA-encoded library screening (DEL), and virtual screening. An analysis of similarity was also conducted based on Tanimoto-MCS and revealed most clinical candidates were distant from their original hits; however, most shared a key pharmacophore that translated from hit-to-clinical candidate. An examination of frequency of oxygen, nitrogen, fluorine, chlorine, and sulfur incorporation in clinical candidates was also conducted. The three most similar and least similar hit-to-clinical pairs from random screening were examined to provide perspective on changes that occur that lead to successful clinical candidates.
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