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通过分子动力学增强建模进行预筛选并通过生物测定验证新型磷酸二酯酶-4D 抑制剂。

Identification of novel phosphodiesterase-4D inhibitors prescreened by molecular dynamics-augmented modeling and validated by bioassay.

机构信息

School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, PR China.

出版信息

J Chem Inf Model. 2013 Apr 22;53(4):972-81. doi: 10.1021/ci400063s. Epub 2013 Mar 29.

Abstract

Phosphodiesterase-4D (PDE4D) has been proved to be a potential therapeutic target against strokes. In the present study, a procedure of integrating pharmacophore, molecular docking, molecular dynamics (MD) simulations, binding free energy calculations, and finally validation with bioassay was developed and described to search for novel PDE4D inhibitors from the SPECS database. Among the 29 compounds selected by our MD-augmented strategy, 15 hits were found with IC50 between 1.9 and 50 μM (a hit rate of 52%) and 6 potent hits showed IC50 less than 10 μM, which suggested that MD simulations can explore the intermolecular interactions of PDE4D-inhibitor complexes more precisely and thus significantly enhanced the hit rate of this screening. The effective and efficient integrated procedures described in this study could be readily applied to screening studies toward other drug targets.

摘要

磷酸二酯酶 4D(PDE4D)已被证明是治疗中风的潜在治疗靶点。在本研究中,开发并描述了一种整合药效团、分子对接、分子动力学(MD)模拟、结合自由能计算,最后通过生物测定进行验证的方法,用于从 SPECS 数据库中搜索新型 PDE4D 抑制剂。在我们的 MD 增强策略选择的 29 种化合物中,发现 15 种化合物的 IC50 在 1.9 和 50 μM 之间(命中率为 52%),6 种有效化合物的 IC50 小于 10 μM,这表明 MD 模拟可以更精确地探索 PDE4D-抑制剂复合物的分子间相互作用,从而显著提高了这种筛选的命中率。本研究中描述的有效且高效的综合程序可轻松应用于针对其他药物靶点的筛选研究。

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