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通过基于药效团的虚拟筛选、分子对接、分子动力学模拟研究、合成及评估鉴定新型小分子变构SHP2抑制剂

Identification of new small molecule allosteric SHP2 inhibitor through pharmacophore-based virtual screening, molecular docking, molecular dynamics simulation studies, synthesis and evaluation.

作者信息

Mitra Rangan, Kumar Sandeep, Ayyannan Senthil Raja

机构信息

Pharmaceutical Chemistry Research Laboratory II, Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (Banaras Hindu University) Varanasi, Uttar Pradesh, India.

出版信息

J Biomol Struct Dyn. 2025 Feb;43(3):1352-1371. doi: 10.1080/07391102.2023.2291733. Epub 2023 Dec 14.

Abstract

Src homology-2 (SH2) domain-containing phosphatase-2 (SHP2) is the first identified protooncogene and is a promising target for developing small molecule inhibitors as cancer chemotherapeutic agents. Pharmacophore-based virtual screening (PBVS) is a pharmacoinformatics methodology that employs physicochemical knowhow of the chemical space into the dynamic environs of computational technology to extract virtual molecular hits that are precise and promising for a drug target. In the current study, PBVS has been applied on Enamine Advanced Collection of 551,907 molecules by using a pharmacophore model developed upon by Molecular Operating Environment (MOE) software to identify potential small molecule allosteric SHP2 inhibitors. Obtained 37 hits were further filtered through DruLiTo software for drug-likeness and PAINS remover which yielded 35 hits. These were subjected to molecular docking studies against the tunnel allosteric site of SHP2 (PDB ID: 5EHR) to screen them according to their binding affinity for the enzyme. Top 5 molecules having highest binding affinity for 5EHR were passed through an ADMET prediction screening and the top 2 hits (ligands and ) with the most favourable ADMET profile were taken for post screening molecular docking and MD simulation studies. From the protein-ligand interaction pattern, conformational stability and energy parameters, ligand (SHP2 K = 0.118 µM) resulted as the most active molecule. Further, the synthesis and evaluation of the lead compound unveiled its potent inhibitory activity (IC = 0.878 ± 0.008 µM) against SHP2.Communicated by Ramaswamy H. Sarma.

摘要

含Src同源2(SH2)结构域的磷酸酶2(SHP2)是首个被鉴定的原癌基因,是开发小分子抑制剂作为癌症化疗药物的一个有前景的靶点。基于药效团的虚拟筛选(PBVS)是一种药物信息学方法,它将化学空间的物理化学知识应用于计算技术的动态环境中,以提取对药物靶点精确且有前景的虚拟分子命中物。在本研究中,通过使用由分子操作环境(MOE)软件开发的药效团模型,对包含551,907个分子的Enamine高级化合物库应用PBVS,以鉴定潜在的小分子变构SHP2抑制剂。通过DruLiTo软件对获得的37个命中物进行进一步筛选,以去除类药性和PAINS,得到35个命中物。对这些命中物针对SHP2的隧道变构位点(PDB ID:5EHR)进行分子对接研究,根据它们对该酶的结合亲和力进行筛选。对5EHR具有最高结合亲和力的前5个分子通过ADMET预测筛选,选取具有最有利ADMET特征的前2个命中物(配体 和 )进行筛选后分子对接和分子动力学模拟研究。从蛋白质-配体相互作用模式、构象稳定性和能量参数来看,配体 (SHP2的K = 0.118 µM)是活性最高的分子。此外,先导化合物 的合成和评估揭示了其对SHP2具有强效抑制活性(IC = 0.878 ± 0.008 µM)。由拉马斯瓦米·H·萨尔马传达。

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