Discovery and optimization of natural-based nanomolar c-Kit inhibitors via in silico and in vitro studies

生物信息学 伊马替尼 虚拟筛选 体外 化学 受体酪氨酸激酶 药物发现 酪氨酸激酶 效力 突变 原癌基因蛋白质c-kit 抗药性 药理学 激酶 生物化学 生物 癌症研究 受体 遗传学 基因 髓系白血病 造血 干细胞因子 干细胞
作者
Hossam Nada,Sungdo Kim,Sreenivasulu Godesi,Joohan Lee,Kyeong Lee
出处
期刊:Journal of Biomolecular Structure & Dynamics [Informa]
卷期号:: 1-12 被引量:3
标识
DOI:10.1080/07391102.2022.2164061
摘要

c-Kit is a receptor tyrosine kinase which is involved in intracellular signaling and mutations of c-Kit have been associated with various types of cancers. Investigations have shown that inhibition of c-Kit, using tyrosine kinase inhibitors, yielded promising results in cancer treatment marking it as a promising target for cancer therapy. However, the emerging resistance for the current therapy necessitates the development of more potent inhibitors which are not affected by these mutations. Herein, virtual screening of a library of natural-based compounds yielded three hits (2, 5 and 6) which possessed nanomolar inhibitory (2.02, 4.33 and 2.80 nM, respectively) activity when tested in vitro against c-Kit. Single point mutation docking studies showed the hits to be unaffected by the most common resistance mutation in imatinib-resistant cells, mutation of Val654. Although, the top hits exhibited around 3000 higher inhibitory potency toward c-Kit when compared to imatinib (5.4 µM), previous studies have shown that they are metabolically unstable. Fragment-based drug design approaches were then employed to enhance binding affinity of the top hit and make it more metabolically stable. Screening of the generated fragments yielded a new derivative, F1, which demonstrated stronger binding affinity, stability and binding free energy when compared to the hit compound 2.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
zhendezy完成签到,获得积分10
刚刚
彭乙洋完成签到,获得积分10
刚刚
正直的紫完成签到,获得积分10
刚刚
王w发布了新的文献求助30
1秒前
1秒前
隐形曼青应助Oo采纳,获得10
1秒前
1秒前
1秒前
大个应助yk采纳,获得10
1秒前
2秒前
储物间完成签到,获得积分10
2秒前
Len发布了新的文献求助10
2秒前
xzy998发布了新的文献求助30
2秒前
2秒前
2秒前
3秒前
CipherSage应助1111采纳,获得10
4秒前
lemonyu发布了新的文献求助30
4秒前
hmh发布了新的文献求助10
5秒前
科研通AI6.1应助羊肉沫采纳,获得10
5秒前
5秒前
xx发布了新的文献求助10
5秒前
淡淡尔烟发布了新的文献求助10
5秒前
小边发布了新的文献求助10
6秒前
SSD发布了新的文献求助10
7秒前
7秒前
7秒前
蛋黄酥发布了新的文献求助10
8秒前
Virginia完成签到,获得积分10
8秒前
8秒前
慕青应助无私的夕阳采纳,获得10
9秒前
Yimi发布了新的文献求助10
9秒前
魏娜完成签到 ,获得积分20
9秒前
9秒前
9秒前
田様应助勤恳的初蓝采纳,获得10
9秒前
qwer发布了新的文献求助20
10秒前
11秒前
Wjk发布了新的文献求助10
11秒前
Waris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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Social Cognition: Understanding People and Events 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6031110
求助须知:如何正确求助?哪些是违规求助? 7711534
关于积分的说明 16196059
捐赠科研通 5178094
什么是DOI,文献DOI怎么找? 2771027
邀请新用户注册赠送积分活动 1754430
关于科研通互助平台的介绍 1639636