虚拟筛选
分子动力学
分子力学
ROS1型
回转半径
肺癌
药物发现
化学
点突变
计算生物学
癌症研究
药代动力学
结合亲和力
亲缘关系
结合位点
激酶
突变
血浆蛋白结合
分子模型
人肺
药理学
均方根
生物信息学
生物
可达表面积
铅化合物
癌症
IC50型
极表面积
药物开发
药品
装订袋
立体化学
生物化学
作者
Shu-Chi Cho,Yi-Wen Wang,Chien-An Chu,Ming-Chih Huang,Chung Ta Lee
标识
DOI:10.1038/s41598-026-36317-4
摘要
The Gly2032Arg (G2032R) point mutation in proto-oncogene tyrosine-protein kinase 1 (ROS1) is one of the predominant factors of drug resistance to targeted therapies in patients with ROS1 fusion-positive non-small-cell lung cancer (NSCLC). This study aimed to identify novel inhibitors from a library of alkaloids (447 compounds) using computational approaches. Molecular docking-based virtual screening was performed to identify promising compounds, followed by ADMET property prediction and molecular dynamics simulations to assess their safety and stability. The top compounds identified were yibeinoside A and vomicine, which exhibited high binding affinities to the G2032R-mutant ROS1 protein. ADMET analysis indicated that yibeinoside A possessed better predicted pharmacokinetic profiles than vomicine and the positive control, lorlatinib. Molecular dynamics simulations demonstrated that yibeinoside A formed a highly stable complex with stable root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and solvent accessible surface area (SASA) values. Molecular Mechanics Poisson-Boltzmann Surface Area (MM/PBSA) calculations further confirmed that yibeinoside A and vomicine had better binding free energies than lorlatinib. Collectively, these findings suggest that yibeinoside A, with its balanced binding interactions and favorable predicted pharmacokinetic profile, is a promising lead candidate for further development as a selective inhibitor against G2032R-mutant ROS1.
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