化学
分子动力学
亲脂性
化学信息学
药物发现
化学极性
计算化学
分子
立体化学
有机化学
生物化学
作者
Matteo Rossi Sebastiano,Diego García Jiménez,Maura Vallaro,Giulia Caron,Giuseppe Ermondi
标识
DOI:10.1021/acs.jmedchem.2c00774
摘要
There is a need of computational tools to rank bRo5 drug candidates in the very early phases of drug discovery when chemical matter is unavailable. In this study, we selected three compounds: (a) a Ro5 drug (Pomalidomide), (b) a bRo5 orally available drug (Saquinavir), and (c) a polar PROTAC (CMP 98) to focus on computational access to physicochemical properties. To provide a benchmark, the three compounds were first experimentally characterized for their lipophilicity, polarity, IMHBs, and chameleonicity. To reproduce the experimental information content, we generated conformer ensembles with conformational sampling and molecular dynamics in both water and nonpolar solvents. Then we calculated Rgyr, 3D PSA, and IMHB number. An innovative pool of strategies for data analysis was then provided. Overall, we report a contribution to close the gap between experimental and computational methods for characterizing bRo5 physicochemical properties.
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