Computational insights into potential marine natural products as selective inhibitors of Mycobacterium tuberculosis InhA: A structure-based virtual screening study

英哈 虚拟筛选 结核分枝杆菌 药物发现 背景(考古学) 生物化学 可药性 化学 小分子 生物 计算生物学 立体化学 组合化学 肺结核 基因 医学 古生物学 病理
作者
Manikandan Jayaraman,Vijayakumar Gosu,Rajalakshmi Kumar,Jeyaraman Jeyakanthan
出处
期刊:Computational Biology and Chemistry [Elsevier BV]
卷期号:108: 107991-107991 被引量:10
标识
DOI:10.1016/j.compbiolchem.2023.107991
摘要

Several factors are associated with the emergence of drug resistance mechanisms, such as impermeable cell walls, gene mutations, and drug efflux systems. Consequently, bacteria acquire resistance, leading to a decrease in drug efficacy. A new and innovative strategy is required to combat drug resistance in tuberculosis (TB) effectively. Therefore, targeting the mycolic acid biosynthesis pathway, which is involved in synthesising mycolic acids (MAs), essential structural components responsible for mycobacterial pathogenicity, has garnered interest in TB research and the concept of drug resistance. In this context, InhA, which plays a crucial role in the fatty acid synthase-II (FAS-II) system of the MA biosynthetic pathway, was selected as a druggable target for screening investigation. To identify potential lead molecules against InhA, diverse marine natural products (MNPs) were collected from the comprehensive marine natural products database (CMNPD). Virtual screening studies aided in selecting potential lead molecules that best fit within the substrate-binding pocket (SBP) of InhA, forming crucial hydrogen bond interaction with the catalytic residue Tyr158. Three MNPs, CMNPD30814, CMNPD1702, and CMNPD27355, were chosen as prospective alternative molecules due to their favorable pharmacokinetic properties and lack of toxicity according to ProTox-II predictions. Additionally, improved reactivity of the MNPs was observed in the results of density functional theory (DFT) studies. Furthermore, comparative molecular dynamics simulation (MDS), principal component (PC)-based free energy landscape (FEL) analysis, and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) were employed to show enhanced structural stability, increased H-bond potential, and high binding affinity toward the target InhA. Moreover, the hot spot residues that contributed to the high binding energy profile and anchored the stability of the complexes were revealed with their individual interaction energy. The computational insights from this study provide potential avenues to combat TB through the multifaceted mode of action of these marine lead molecules, which can be further explored in future experimental investigations.
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
顾矜应助RCrisp采纳,获得10
1秒前
aabbccxpz关注了科研通微信公众号
1秒前
xmy完成签到,获得积分20
2秒前
2秒前
燚燚发布了新的文献求助10
2秒前
3秒前
3秒前
喜悦恶天完成签到,获得积分20
3秒前
亚马逊森林的灵芝完成签到,获得积分10
3秒前
4秒前
领导范儿应助太阳当空照采纳,获得10
5秒前
HH应助3220211483采纳,获得20
6秒前
ding应助TIAN采纳,获得10
6秒前
6秒前
6秒前
7秒前
嘉浩完成签到,获得积分10
7秒前
英俊的铭应助naturehome采纳,获得10
7秒前
七七发布了新的文献求助10
8秒前
大娃娃完成签到,获得积分10
8秒前
8秒前
科研通AI6.2应助lwanwan采纳,获得30
8秒前
8秒前
Aryatarg发布了新的文献求助10
8秒前
雨洋完成签到,获得积分10
9秒前
9秒前
fallseason完成签到,获得积分10
9秒前
9秒前
鱼大大发布了新的文献求助10
10秒前
10秒前
大意的指甲油完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
11秒前
懒洋洋发布了新的文献求助10
11秒前
zp完成签到,获得积分10
11秒前
11秒前
Goblin完成签到 ,获得积分10
11秒前
liu完成签到,获得积分10
11秒前
高分求助中
(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
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7755421
求助须知:如何正确求助?哪些是违规求助? 9301922
关于积分的说明 20266323
捐赠科研通 7338116
什么是DOI,文献DOI怎么找? 3311174
关于科研通互助平台的介绍 2462259
邀请新用户注册赠送积分活动 2324512