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新型喹啉-氨基哌啶衍生物作为 (MTB)拓扑异构酶 B 抑制剂的设计:一项 研究。

Design of novel quinoline-aminopiperidine derivatives as (MTB) GyrB inhibitors: an study.

机构信息

a College of Chemistry and Chemical Engineering , Lanzhou University , Lanzhou , PR China.

出版信息

J Biomol Struct Dyn. 2019 Jul;37(11):2913-2925. doi: 10.1080/07391102.2018.1498806. Epub 2018 Dec 28.

Abstract

Tuberculosis (TB) is an infectious disease that causes a number of deaths, and the development of new, safer and more adequate TB inhibitors/drugs has become a necessity as well as a great challenge. Mycobacterial DNA gyrase B subunit has been identified to be one of the potentially underexploited drug targets in the field of anti-tubercular drug discovery. To design the novel and potent (MTB) inhibitors, we performed molecular modeling studies that combined the 3D-QSAR, molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations. Forty eight quinoline-aminopiperidine inhibitors which act on DNA gyrase B subunit were used for constructing 3D-QSAR models. The results showed that the best CoMFA model had the high performance with   0.643, , while the best CoMSIA model yielded   0.536, 0.948. The contour map was in good agreement with the docking and MD simulations which strongly demonstrated that the molecular modeling was reliable. Based on this information, several potential compounds were designed and their inhibitory activities were also verified by the accomplished models and ADME/T predictions. We hope that our research could bring new ideas to facilitate the development of novel inhibitors with higher inhibitory activity for TB. Communicated by Ramaswamy H. Sarma.

摘要

结核病(TB)是一种传染病,导致了许多人死亡,因此开发新的、更安全和更有效的结核病抑制剂/药物已成为当务之急,也是一个巨大的挑战。分枝杆菌 DNA 回旋酶 B 亚基已被确定为抗结核药物发现领域中一个潜在未充分开发的药物靶点。为了设计新型有效的(MTB)抑制剂,我们进行了分子建模研究,将 3D-QSAR、分子对接、分子动力学(MD)模拟和结合自由能计算相结合。我们使用了 48 种作用于 DNA 回旋酶 B 亚基的喹啉-氨基哌啶抑制剂来构建 3D-QSAR 模型。结果表明,最佳 CoMFA 模型具有较高的性能,其值为 0.643, ,而最佳 CoMSIA 模型的 值为 0.536, 0.948。等高线图与对接和 MD 模拟结果吻合较好,这有力地证明了分子建模的可靠性。基于这些信息,我们设计了几个潜在的化合物,并通过已完成的模型和 ADME/T 预测验证了它们的抑制活性。我们希望我们的研究能够为开发具有更高抑制活性的新型抑制剂提供新的思路,以促进结核病的治疗。由 Ramaswamy H. Sarma 交流。

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