化学
半胱氨酸
鉴定(生物学)
共价键
计算生物学
铅(地质)
组合化学
生物化学
有机化学
酶
植物
地貌学
生物
地质学
作者
Simon C. C. Lucas,Alexander G. Milbradt,J. Henry Blackwell,Silvia Bonomo,Andrew S. Brierley,Doyle J. Cassar,Jared Freeman,Thomas E. Hadfield,Lucas A. Morrill,Rick Riemens,Sunil Sarda,Stefan Schießer,Daniel Wiktelius,Samiyah Ahmed,Mark J. Bostock,Ulf Börjesson,Claudia De Fusco,Carine Guérot,David Hargreaves,Sarah H. Hewitt
标识
DOI:10.1021/acs.jmedchem.4c00781
摘要
Covalent hit identification is a viable approach to identify chemical starting points against difficult-to-drug targets. While most researchers screen libraries of <2k electrophilic fragments, focusing on lead-like compounds can be advantageous in terms of finding hits with improved affinity and with a better chance of identifying cryptic pockets. However, due to the increased molecular complexity, larger numbers of compounds (>10k) are desirable to ensure adequate coverage of chemical space. Herein, the approach taken to build a library of 12k covalent lead-like compounds is reported, utilizing legacy compounds, robust library chemistry, and acquisitions. The lead-like covalent library was screened against the antiapoptotic protein Bfl-1, and six promising hits that displaced the BIM peptide from the PPI interface were identified. Intriguingly, X-ray crystallography of lead-like compound 8 showed that it binds to a previously unobserved conformation of the Bfl-1 protein and is an ideal starting point for the optimization of Bfl-1 inhibitors.
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