Screening for In Vitro Antimycobacterial Activity and Three‐Dimensional Quantitative Structure–Activity Relationship (3D‐QSAR) Study of 4‐(arylamino)coumarin Derivatives

作者
Vijay Virsdoia,Mushtaque S. Shaikh,Atul Manvar,Bhavik Desai,A. Parecha,Raju Loriya,Kinnari Dholariya,Gautam Patel,Vipul Vora,Kuldip Upadhyay,Karia Denish,Anamik Shah,Evans C. Coutinho
出处
期刊:Chemical Biology & Drug Design [Wiley]
卷期号:76 (5): 412-424 被引量:39
标识
DOI:10.1111/j.1747-0285.2010.00997.x
摘要

The resurgence of tuberculosis and the emergence of multidrug-resistant strains of Mycobacteria necessitate the search for new classes of antimycobacterial agents. We have synthesized a small library of 50 analogues of 4-(arylamino)coumarins with various aromatic amines at the C(4) - position of the coumarin scaffold. The compounds were evaluated for antimycobacterial activity against Mycobacterium tuberculosis H(37) Rv with rifampicin as the standard. Of the molecules synthesized, compound 9 was found to be most potent with a minimum inhibitory concentration >6.25 μg/mL for 100% inhibition. In an effort to develop new and more effective molecules in this series, the relationship between structure and activity was investigated by comparative molecular field analysis. Various models were generated using comparative molecular field analysis alone and comparative molecular field analysis plus a hydropathy field (HINT). In all, eight models were generated with atom-fit and field-fit alignment strategies. The comparative molecular field analysis models (Models 3a and 4a) based on field-fit alignment were the best with statistically good correlation coefficients (r²) and cross-validated q². The values of r²(pred) for the validation set were 0.469 and 0.516. Based on the comparative molecular field analysis contours, some insights into the structure-activity relationship of the compounds could be gained.

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
1秒前
浠11完成签到 ,获得积分10
2秒前
jackson_WANG发布了新的文献求助10
2秒前
5秒前
5秒前
轻松的囧发布了新的文献求助10
5秒前
5秒前
6秒前
8秒前
傻傻的安宁完成签到,获得积分10
9秒前
伊洛发布了新的文献求助10
11秒前
11秒前
逆天子发布了新的文献求助10
11秒前
12秒前
奔跑应助minmi采纳,获得10
13秒前
852应助阿良采纳,获得10
13秒前
14秒前
15秒前
yyy2025完成签到,获得积分10
16秒前
16秒前
16秒前
16秒前
今后应助梦蝶采纳,获得10
17秒前
加州卡车王发布了新的文献求助100
17秒前
17秒前
17秒前
隐形曼青应助1851611453采纳,获得10
17秒前
18秒前
万能图书馆应助不懂采纳,获得30
19秒前
李健的小迷弟应助Sand采纳,获得10
20秒前
专注静竹完成签到,获得积分10
20秒前
20秒前
20秒前
21秒前
21秒前
21秒前
21秒前
21秒前
21秒前
可爱的函函应助吴志亮采纳,获得10
22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
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
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 7675478
求助须知:如何正确求助?哪些是违规求助? 9241711
关于积分的说明 19913162
捐赠科研通 7245334
什么是DOI,文献DOI怎么找? 3286148
关于科研通互助平台的介绍 2444227
邀请新用户注册赠送积分活动 2288903