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Dibenzepinones, dibenzoxepines and benzosuberones based p38α MAP kinase inhibitors: Their pharmacophore modelling, 3D-QSAR and docking studies

药效团 对接(动物) 数量结构-活动关系 分子动力学 化学 构象异构 虚拟筛选 诱饵 适用范围 计算生物学 立体化学 计算化学 生物化学 分子 生物 医学 护理部 受体 有机化学
作者
Mohemmed Faraz Khan,Garima Verma,Perwez Alam,Mymoona Akhter,Md. Afroz Bakht,S. S. Hasan,Mohammad Shaquiquzzaman,Mohammad Mumtaz Alam
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:110: 175-185 被引量:8
标识
DOI:10.1016/j.compbiomed.2019.05.023
摘要

In the present study, a series of dibenzepinones, dibenzoxepines, and benzosuberones targeting p38α MAP kinase were subjected to pharmacophore modelling, 3D-QSAR and molecular docking studies. The IC50 values for these 67 compounds ranged between 0.003 and 6.80 μM. A five-point model (DDHHR.8) was generated using these compounds. This model was found to be statistically significant and was found to have high correlation (R2 = 0.98), cross-validation coefficient (Q2 = 0.95) and F (330) values at six component PLS factor. Tests were performed to ascertain the efficacy of the generated model. These tests included external validation, Tropsha's test for predictive ability, Y-randomisation test and domain of applicability (APD). In order to check the restrictivity of the model, enrichment studies were performed with inactive compounds by using decoy set molecules. To evaluate the effectiveness of the docking protocol, the co-crystallised ligand was extracted from the ligand-binding domain of the protein and was re-docked into the same position. Both the conformers were then superimposed, suggesting satisfactory docking parameters with an RMSD value of less than 1.0 Å (0.853 Å). A 10 ns molecular dynamics simulation confirmed the docking results of the 3UVP-ligand complex and the presumed active conformation. The outcome of the present study provides insight into the molecular features that promote bioactivity and can be exploited for the prediction of novel potent p38α MAP kinase inhibitors before carrying out their synthesis and anticancer evaluation.

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