Interaction of compounds derived from the Chinese medicinal formula Huangqi Guizhi Wuwu Tang with stroke-related numbness and weakness targets: An in-silico docking and molecular dynamics study

分子动力学 对接(动物) 回转半径 生物信息学 配体(生物化学) 结合位点 化学 生物物理学 立体化学 受体 生物化学 生物 医学 计算化学 基因 兽医学 有机化学 聚合物
作者
Sang-Hyun Lee,Ann Rann Wong,Angela Wei Hong Yang,Andrew Hung
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:146: 105568-105568 被引量:11
标识
DOI:10.1016/j.compbiomed.2022.105568
摘要

Huangqi Guizhi Wuwu Tang (HGWT) is a traditional Chinese herbal formula used for managing post-stroke symptoms. Existing research have supported the use of this formula particularly for stroke-related numbness and weakness (SRNW); however, their mechanisms of actions are not fully understood. This study aims to investigate the molecular mechanisms of components from HGWT targeting specific proteins related to numbness and weakness through computational docking and molecular dynamics (MD) simulations. A total of 786 compounds from HGWT were retrieved from a herbal compound database and docked against a candidate SRNW target protein, with the asernestioside B (HQ068)-mitogen-activated protein kinase 3 (MAPK3) complex predicted to exhibit the highest binding affinity (-10.4 kcal/mol) and number of ligand-receptor contacts. Subsequent molecular dynamics (MD) simulations were performed in triplicate on the apo-MAPK3 protein and asernestioside B -bound form in a solvated system for 200 ns per trajectory to ascertain the stability of the enzyme-ligand complex, and to determine the structural impact of ligand binding. The stability of the complex and overall tertiary structural changes were characterized using root-mean-square deviation (RMSD), radius of gyration (Rg), root-mean-square fluctuation (RMSF) calculations Differences in the RMSF of apo and ligand-bound MAPK3 were most prominent in three major regions: (a) activation loop Asp184:Pro213 (b) MAPK3 insertion site Gly262:Ala291 and (c) loop region at the C-terminus Tyr334:Pro356. Lower values of RMSF for the HQ068-bound protein at the activation loop suggest that HQ068 binding stabilizes MAPK3 in a different conformation in this region compared to the apo protein. Free energy calculations of the asernestioside B-MAPK3 complex revealed key residues contributing to the interaction, which include Pro264, Gln 266, Asp268 and Thr288. These key residues may play an integral role in the binding of selective modulators or substrates of extracellular signal-regulated kinase (ERK) within the MAPK cascade. Overall, this study provides a mechanistic overview of compounds from HGWT. Modelling predicted that asernestioside B may act with high potency against MAPK3, while exhibiting a favourable ADMET profile, and this compound should be explored as a potential agent to alleviate SRNW-related symptoms in future studies.
最长约 10秒,即可获得该文献文件

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
TT_Bryant应助科研通管家采纳,获得10
刚刚
浮游应助科研通管家采纳,获得10
刚刚
mr完成签到 ,获得积分10
刚刚
cc应助科研通管家采纳,获得30
刚刚
lcc应助科研通管家采纳,获得10
刚刚
深情安青应助科研通管家采纳,获得10
刚刚
天天快乐应助科研通管家采纳,获得10
刚刚
李健应助科研通管家采纳,获得10
刚刚
FashionBoy应助科研通管家采纳,获得10
刚刚
在水一方应助serendipity采纳,获得10
刚刚
顾矜应助科研通管家采纳,获得10
刚刚
称心黄蜂发布了新的文献求助10
刚刚
科目三应助科研通管家采纳,获得10
刚刚
浮游应助科研通管家采纳,获得10
刚刚
Twonej应助科研通管家采纳,获得30
刚刚
TT_Bryant应助科研通管家采纳,获得10
1秒前
华仔应助科研通管家采纳,获得10
1秒前
浮游应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
浮游应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
fuHM发布了新的文献求助10
1秒前
完美世界应助monkey采纳,获得10
1秒前
刺槐发布了新的文献求助10
1秒前
顾矜应助梦里的大子刊采纳,获得10
1秒前
L1q完成签到,获得积分10
2秒前
毕业毕业发布了新的文献求助10
2秒前
花花发布了新的文献求助10
2秒前
优秀的夜玉完成签到,获得积分10
3秒前
在水一方应助凶狠的半山采纳,获得10
3秒前
anjia发布了新的文献求助10
3秒前
3秒前
4秒前
02完成签到,获得积分10
4秒前
Uranus发布了新的文献求助30
5秒前
三寸光阴发布了新的文献求助10
5秒前
5秒前
5秒前
高分求助中
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 12000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Advanced Memory Technology: Functional Materials and Devices 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5692771
求助须知:如何正确求助?哪些是违规求助? 5089886
关于积分的说明 15209422
捐赠科研通 4849898
什么是DOI,文献DOI怎么找? 2601411
邀请新用户注册赠送积分活动 1553164
关于科研通互助平台的介绍 1511347