Discovery of a Potent c‑MET Inhibitor for Non-Small Cell Lung Cancer Treatment by AI-Based and Docking-Based Virtual Screening

基于人工智能和分子对接的虚拟筛选发现用于治疗非小细胞肺癌的强效c-MET抑制剂

阅读:1

Abstract

The dysregulation of the mesenchymal-epithelial transition factor (c-MET) signaling pathway is linked to the development and drug resistance of non-small cell lung cancer (NSCLC), highlighting the need for small-molecule inhibitors targeting c-MET. In this study, we identified six potential c-MET inhibitors from a compound library using structure-based and AI-based virtual screening. Four compounds demonstrated c-MET inhibitory activity, with compound 2 exhibiting potent inhibition at an IC(50) of 40.1 nM. Further studies showed that compound 2 effectively inhibited NSCLC cell proliferation, comparable to that of positive controls. ADMET predictions indicate favorable drug-like properties, suggesting its potential as a novel c-MET inhibitor. Molecular dynamics simulations revealed that compound 2 stabilizes its conformation through interactions with Ala1221, Pro1158, and Lys1110, providing valuable insights for further drug development.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。