Mitra Rangan, Kumar Sandeep, Ayyannan Senthil Raja
Pharmaceutical Chemistry Research Laboratory II, Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (Banaras Hindu University) Varanasi, Uttar Pradesh, India.
J Biomol Struct Dyn. 2025 Feb;43(3):1352-1371. doi: 10.1080/07391102.2023.2291733. Epub 2023 Dec 14.
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.
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。