Structure activity relationship and target prediction for ABX464 analogues in Caenorhabditis elegans

秀丽隐杆线虫 生物信息学 模式生物 计算生物学 有机体 药物发现 作用机理 表型筛选 生物 药效团 蛋白质组 驱虫药 虚拟筛选 化学 生物化学 表型 体外 遗传学 基因 生态学
作者
Harrison T. Shanley,Aya C. Taki,Nghi Nguyen,Tao Wang,Joseph J. Byrne,Ching‐Seng Ang,Michael G. Leeming,Shuai Nie,Nicholas A. Williamson,Yuanting Zheng,Neil D. Young,Pasi K. Korhonen,Andreas Hofmann,Timothy N. C. Wells,Abdul Jabbar,Brad E. Sleebs,Robin B. Gasser
出处
期刊:Bioorganic & Medicinal Chemistry [Elsevier BV]
卷期号:98: 117540-117540 被引量:4
标识
DOI:10.1016/j.bmc.2023.117540
摘要

Global challenges with treatment failures and/or widespread resistance in parasitic worms against commercially available anthelmintics lend impetus to the development of new anthelmintics with novel mechanism(s) of action. The free-living nematode Caenorhabditis elegans is an important model organism used for drug discovery, including the screening and structure-activity investigation of new compounds, and target deconvolution. Previously, we conducted a whole-organism phenotypic screen of the 'Pandemic Response Box' (from Medicines for Malaria Venture, MMV) and identified a hit compound, called ABX464, with activity against C. elegans and a related, parasitic nematode, Haemonchus contortus. Here, we tested a series of 44 synthesized analogues to explore the pharmacophore of activity on C. elegans and revealed five compounds whose potency was similar or greater than that of ABX464, but which were not toxic to human hepatoma (HepG2) cells. Subsequently, we employed thermal proteome profiling (TPP), protein structure prediction and an in silico-docking algorithm to predict ABX464-target candidates. Taken together, the findings from this study contribute significantly to the early-stage drug discovery of a new nematocide based on ABX464. Future work is aimed at validating the ABX464-protein interactions identified here, and at assessing ABX464 and associated analogues against a panel of parasitic nematodes, towards developing a new anthelmintic with a mechanism of action that is distinct from any of the compounds currently-available commercially.
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
慕青应助无风风采纳,获得10
刚刚
senli2018发布了新的文献求助10
3秒前
KM完成签到,获得积分0
3秒前
3秒前
Little_可爱发布了新的文献求助10
3秒前
小徐发布了新的文献求助10
6秒前
6秒前
CoCo发布了新的文献求助10
6秒前
Akim应助杨莹采纳,获得10
7秒前
无极微光应助失眠水风采纳,获得20
7秒前
管不着发布了新的文献求助10
7秒前
7秒前
科研通AI6.3应助chenyun采纳,获得10
7秒前
8秒前
9秒前
ll关注了科研通微信公众号
9秒前
东北饿霸完成签到,获得积分10
9秒前
yibie完成签到,获得积分10
9秒前
10秒前
脑洞疼应助叶y采纳,获得30
10秒前
科研通AI2S应助xiaolizi采纳,获得10
10秒前
戴头套的母蟑螂完成签到,获得积分10
11秒前
酷波er应助senli2018采纳,获得10
11秒前
烟花应助克利夫兰采纳,获得10
11秒前
翠花发布了新的文献求助10
11秒前
13秒前
FGG发布了新的文献求助30
13秒前
寻觅完成签到,获得积分10
15秒前
15秒前
1121发布了新的文献求助10
16秒前
搜集达人应助一川烟草采纳,获得10
17秒前
店庆完成签到,获得积分10
18秒前
18秒前
Ll_l完成签到,获得积分10
19秒前
20秒前
20秒前
故意的以旋完成签到,获得积分10
21秒前
23秒前
hzl发布了新的文献求助10
24秒前
小蘑菇应助GSR采纳,获得10
25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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6504502
求助须知:如何正确求助?哪些是违规求助? 8298894
关于积分的说明 17714716
捐赠科研通 5603912
什么是DOI,文献DOI怎么找? 2919895
邀请新用户注册赠送积分活动 1897274
关于科研通互助平台的介绍 1759121