Suppr超能文献

噻吩并[3,2-b]吡咯衍生物对 KDM1A/LSD1 抗癌靶点的分子对接、3D-QSAR 和分子动力学模拟。

Molecular docking, 3D-QSAR, and molecular dynamics simulations of thieno[3,2-b]pyrrole derivatives against anticancer targets of KDM1A/LSD1.

机构信息

Key Laboratory of Structure-Based Drug Design & Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang, P.R. China.

出版信息

J Biomol Struct Dyn. 2021 Mar;39(4):1189-1202. doi: 10.1080/07391102.2020.1726819. Epub 2020 Feb 21.

Abstract

Lysine-specific demethylase 1 (LSD1) is a histone-modifying enzyme, which has been proposed as a promising target for anticancer drug development. Extensive research on LSD1 inhibitors has been performed since its discovery. In order to get more information for lead identification and optimization, we carried out a molecular modeling study on a set of 43 thieno[3,2-b]pyrrole competitive inhibitors of LSD1 using three-dimensional quantitative structure-activity relationship (3D-QSAR), molecular docking and molecular dynamics (MD) simulations. Based on the co-crystallized conformer-based alignment (CCBA) method, 3D-QSAR model of thieno[3,2-b]pyrrole derivatives as LSD1 inhibitors was established. The significant statistics ( = 0.595, = 0.959, = 0.846) of the 3D-QSAR indicated the good predictive power and statistical reliability of this model. Based on the corresponding contour maps six LSD1 inhibitors were designed and their activities were predicted by 3D-QSAR model. Meanwhile, molecular docking was performed to simulate the probable binding modes between ligands and LSD1 protein. The molecular interactions mainly contributions to the binding affinity for LSD1 inhibitions were further supplemented by 100 ns MD simulations and binding free energy calculation.

摘要

赖氨酸特异性脱甲基酶 1(LSD1)是一种组蛋白修饰酶,已被提议作为开发抗癌药物的有前途的靶点。自发现 LSD1 以来,人们对 LSD1 抑制剂进行了广泛的研究。为了获得更多的信息用于先导化合物的鉴定和优化,我们使用三维定量构效关系(3D-QSAR)、分子对接和分子动力学(MD)模拟对一组 43 种噻吩并[3,2-b]吡咯类 LSD1 竞争性抑制剂进行了分子建模研究。基于共晶构象基对齐(CCBA)方法,建立了噻吩并[3,2-b]吡咯衍生物作为 LSD1 抑制剂的 3D-QSAR 模型。该模型具有显著的统计学意义( = 0.595, = 0.959, = 0.846),表明该模型具有良好的预测能力和统计学可靠性。基于相应的等高线图,设计了 6 种 LSD1 抑制剂,并通过 3D-QSAR 模型预测了它们的活性。同时,进行了分子对接以模拟配体与 LSD1 蛋白之间可能的结合模式。通过 100ns MD 模拟和结合自由能计算,进一步补充了对 LSD1 抑制结合亲和力有主要贡献的分子相互作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验