Flavanones: A potential natural inhibitor of the ATP binding site of PknG of Mycobacterium tuberculosis

结核分枝杆菌 对接(动物) 生物信息学 化学 生物化学 李宾斯基五定律 结合位点 活动站点 药物发现 激酶 生物 肺结核 医学 基因 病理 护理部
作者
Supriya P Swain,Subhi Gupta,Nidhi Das,Tanos C. C. França,Arlan da Silva Gonçalves,Teodorico C. Ramalho,Shreya Subrahmanya,Utkarsh Narsaria,Debashrito Deb,Neelam Mishra
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:40 (22): 11885-11899 被引量:4
标识
DOI:10.1080/07391102.2021.1965913
摘要

Over the years, Mycobacterium tuberculosis has been one of the major causes of death worldwide. As several clinical isolates of the bacteria have developed drug resistance against the target sites of the current therapeutic agents, the development of a novel drug is the pressing priority. According to recent studies on Mycobacterium tuberculosis, ATP binding sites of Mycobacterium tuberculosis serine/threonine protein kinases (MTPKs) have been identified as the new promising drug target. Among the several other protein kinases (PKs), Protein kinase G (PknG) was selected for the study because of its crucial role in modulating bacterium’s metabolism to survive in host macrophages. In this work, we have focused on the H37Rv strain of Mycobacterium tuberculosis. A list of 477 flavanones obtained from the PubChem database was docked one by one against the crystallized and refined structure of PknG by in-silico techniques. Initially, potential inhibitors were narrowed down by preliminary docking. Flavanones were then selected using binding energies ranging from −7.9 kcal.mol−1 to −10.8 kcal.mol−1. This was followed by drug-likeness prediction, redocking analysis, and molecular dynamics simulations. Here, we have used experimentally confirmed drug AX20017 as a reference to determine candidate compounds that can act as potential inhibitors for PknG. PubChem165506, PubChem242065, PubChem688859, PubChem101367767, PubChem3534982, and PubChem42607933 were identified as possible target site inhibitors for PknG with a desirable negative binding energy of −8.1, −8.3, −8.4, −8.8, −8.6 and −7.9 kcal.mol−1 respectively.Communicated by Ramaswamy H. Sarma

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
缓慢的元槐完成签到 ,获得积分10
刚刚
lily完成签到,获得积分20
2秒前
3秒前
悦耳的芒果完成签到,获得积分10
6秒前
7秒前
lily发布了新的文献求助10
7秒前
drjyang完成签到,获得积分10
9秒前
15秒前
柒柒球完成签到 ,获得积分10
16秒前
胡萝卜完成签到 ,获得积分10
19秒前
小宇完成签到,获得积分10
19秒前
追梦人完成签到 ,获得积分10
22秒前
缥缈云朵完成签到,获得积分10
22秒前
中科院饲养员完成签到,获得积分10
23秒前
白驹过隙完成签到 ,获得积分10
25秒前
精明寒松完成签到 ,获得积分10
27秒前
她的城完成签到,获得积分0
29秒前
zhao完成签到,获得积分10
34秒前
来个肉盒子完成签到 ,获得积分10
36秒前
38秒前
姜勇完成签到,获得积分10
39秒前
Double_N完成签到,获得积分10
40秒前
gaowei完成签到 ,获得积分10
40秒前
函数完成签到 ,获得积分10
45秒前
看文献完成签到,获得积分0
47秒前
夏傥完成签到,获得积分10
49秒前
songyu完成签到,获得积分10
50秒前
木木 12完成签到,获得积分10
53秒前
现代大神完成签到,获得积分10
56秒前
默默莫莫完成签到 ,获得积分10
56秒前
等待谷南完成签到,获得积分10
57秒前
蓝蓝莓完成签到 ,获得积分10
1分钟前
小西完成签到 ,获得积分10
1分钟前
xh完成签到 ,获得积分10
1分钟前
HAHA完成签到,获得积分10
1分钟前
耍酷的冷雪完成签到,获得积分10
1分钟前
烧仙草之完成签到 ,获得积分10
1分钟前
1分钟前
郭晓峰完成签到,获得积分10
1分钟前
花开四海完成签到 ,获得积分0
1分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7298340
求助须知:如何正确求助?哪些是违规求助? 8916676
关于积分的说明 18879618
捐赠科研通 6963436
什么是DOI,文献DOI怎么找? 3210642
关于科研通互助平台的介绍 2379958
邀请新用户注册赠送积分活动 2187125