已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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

数量结构-活动关系 分子动力学 化学 对接(动物) 分子描述符 立体化学 构象异构 脱甲基酶 吡咯 计算化学 计算生物学 组合化学 分子 组蛋白 生物化学 生物 DNA 有机化学 医学 护理部
作者
Xiangyu Zhang,Jiangkun Yan,Hanxun Wang,Ying Wang,Jian Wang,Dongmei Zhao
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:39 (4): 1189-1202 被引量:22
标识
DOI:10.1080/07391102.2020.1726819
摘要

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 (q2 = 0.595, r2 = 0.959, r2pred = 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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
落后蓝发布了新的文献求助10
1秒前
lito发布了新的文献求助10
4秒前
彭于晏应助简易采纳,获得10
4秒前
4秒前
潘梦瑶发布了新的文献求助10
5秒前
5秒前
hz完成签到,获得积分10
7秒前
思源应助隐形便当采纳,获得10
7秒前
8秒前
8秒前
8秒前
8秒前
Moonpie应助科研通管家采纳,获得10
8秒前
8秒前
orixero应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
充电宝应助科研通管家采纳,获得10
8秒前
9秒前
9秒前
9秒前
充电宝应助平常平松采纳,获得10
9秒前
9秒前
在水一方应助科研通管家采纳,获得10
9秒前
Moonpie应助科研通管家采纳,获得10
9秒前
9秒前
不摇碧莲完成签到 ,获得积分10
9秒前
Raki发布了新的文献求助10
9秒前
mmyyff发布了新的文献求助10
11秒前
11秒前
11秒前
哈哈悦完成签到,获得积分10
13秒前
万能图书馆应助落后蓝采纳,获得10
13秒前
科研通AI2S应助xxy采纳,获得10
13秒前
14秒前
跳跃迎松发布了新的文献求助10
17秒前
17秒前
xixihaha完成签到,获得积分10
18秒前
18秒前
淡定的飞鸟完成签到,获得积分10
19秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6679990
求助须知:如何正确求助?哪些是违规求助? 8426207
关于积分的说明 18010281
捐赠科研通 5897076
什么是DOI,文献DOI怎么找? 2980820
邀请新用户注册赠送积分活动 1956723
关于科研通互助平台的介绍 1889622