3D QSAR, Docking, Molecular dynamics simulations and MM-GBSA studies of Extended Side Chain of the Antitubercular Drug (6S) 2-Nitro-6-{[4-(trifluoromethoxy) benzyl] oxy}-6,7-dihydro-5H-imidazo[2,1-b] [1,3] oxazine.

药效团 数量结构-活动关系 分子动力学 对接(动物) 化学 立体化学 计算化学 分子 配体(生物化学) 受体 生物化学 有机化学 医学 护理部
作者
Hemchandra K. Chaudhari,Akshta R. Pahelkar
出处
期刊:Infectious disorders drug targets [Bentham Science Publishers]
卷期号:18 被引量:1
标识
DOI:10.2174/1871526518666181015145545
摘要

PA-824 analogues have been proposed on a promising approach for treating MDR/XDR tuberculosis. In order to understand the structural requirement of reported extended side chain analogues were studied to get insight into their structural requirements responsible for high affinity as a ligand-based pharmacophore, 3D-QSAR model have been developed. Docking and molecular dynamics studies revealed the better binding interaction of inhibitor binding pocket of deazaflavin dependent nitroreductase (Ddn) with cofactor F420 crystal.For pharmacophore generation and atom-based 3D-QSAR analysis, a dataset of 84 compounds were selected which were carried out using PHASE. The docking studies were performed using Glide module consists of five steps protein preparation, ligand preparation, receptor grid generation, actual docking procedure and finally viewing the docking results using the poseviewer. QikProp provides ranges for comparing a particular molecule's properties with those of 95% of known drugs. Molecular dynamics (MD) simulations for docking complex of deazaflavin dependent nitroreductase (Ddn) with molecule 63 were performed using Desmond. Prime Molecular Mechanics/Generalized-Born/Surface Area (MM-GBSA) was used for the calculation of binding free energy for the docked complexes.The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of R2 = 0.8988 for training set compounds, higher variance ratio F= 127.3 and the model generated showed excellent predictive power, with a correlation coefficient of structure to analyses Q2= 0.8543 for a randomly chosen test set of 17 compounds. The binding position of most active molecule 63 is shown in figure 4. Several favorable interactions between ligand and enzyme clearly observed; H-bond showed between O atom presence as spacer in C-6- 2-Nitro-6-{[4-(trifluoromethoxy) benzyl] oxy}-6,7-dihydro-5H-imidazo[2,1-b] [1,3] oxazine and Asn 62. Weak hydrogen bonding observed between N1 atom in imidazole ring and Asn91. The binding of imidazole nucleus occurs at site, which has extensive hydrophobic interaction with Arg60 residues. All these pharmacokinetic parameters within the acceptable range defined for human use, thereby indicating their potential as drug- like molecule. Stability of deazaflavin dependent nitroreductase (Ddn) with molecule 63 complex was evaluated through 100 ns molecular dynamic simulations. Main contributions to the tight binding of molecule 63 to Ddn are the exceptionally electrostatics (dG_bind_Coulomb) and enhance hydrogen bond interactions (dG_bind_Hbond).Docking, MM-GBSA, MD stimulation, pharmacophore model and 3D-QSAR studies as well as QikProp pharmacokinetic analysis presented in this paper is hoped to be a primer towards the development of various novel PA-824 with different chemical scaffolds and further its biological activity predictions to invent novel, potent, selective and safe PA-824 analogues for the treatment of MDR/XDR tuberculosis. Moreover, further use of contemporary experimental and computational techniques to data presented here may widen its scope and applicability.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
光亮的千亦完成签到,获得积分10
1秒前
aaa发布了新的文献求助10
1秒前
周久完成签到 ,获得积分10
2秒前
闹心发布了新的文献求助10
2秒前
3秒前
善学以致用应助llll采纳,获得10
5秒前
嗯哼完成签到 ,获得积分10
5秒前
6秒前
汤汤发布了新的文献求助50
8秒前
8秒前
胡小妹发布了新的文献求助10
8秒前
苏木发布了新的文献求助10
10秒前
小巧的傲松完成签到,获得积分10
10秒前
10秒前
12秒前
量子星尘发布了新的文献求助150
13秒前
14秒前
麒麟发布了新的文献求助10
15秒前
16秒前
16秒前
刘sc发布了新的文献求助10
18秒前
wawaeryu发布了新的文献求助30
20秒前
科研通AI2S应助嘻嘻采纳,获得10
20秒前
高兴的黑米完成签到,获得积分10
20秒前
20秒前
缥缈蓉发布了新的文献求助10
21秒前
22秒前
23秒前
25秒前
着急的青枫应助你女采纳,获得10
26秒前
27秒前
1112131345发布了新的文献求助10
28秒前
Labubububu发布了新的文献求助30
28秒前
29秒前
麒麟完成签到,获得积分10
30秒前
周全完成签到 ,获得积分10
31秒前
31秒前
共享精神应助失眠飞鱼采纳,获得10
32秒前
嘻嘻发布了新的文献求助10
33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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
2026国自然单细胞多组学大红书申报宝典 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4915038
求助须知:如何正确求助?哪些是违规求助? 4189167
关于积分的说明 13010035
捐赠科研通 3958176
什么是DOI,文献DOI怎么找? 2170103
邀请新用户注册赠送积分活动 1188349
关于科研通互助平台的介绍 1096077