结合基于配体和结构的虚拟筛选方法发现新的原肌球蛋白受体激酶A抑制剂

IF 3 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xiaoman Zhao , Yueshan Ji , Yue Kong , Aixia Yan , Changyuan Yu
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引用次数: 0

摘要

原肌球蛋白受体激酶(TRK)是一个重要的广谱抗癌靶点。它的抑制剂是首批被批准用于泛癌症治疗的“肿瘤不可知论”药物之一。TRKA是原肌球蛋白受体激酶的一种亚型,是人类癌症中最常检测到的亚型之一,已成为抗癌药物开发的关键靶点。我们的工作采用了一种虚拟筛选方法,结合了基于配体和结构的策略来识别靶向TRKA的新型抑制剂。构建了具有广阔化学空间的987万种商品化合物筛选数据库的大型虚拟筛选系统。采用漏斗状多阶段组合筛选工艺,综合耗时和精度顺序为:基于药效团和形状筛选、基于前传研究获得的QSAR模型筛选、基于分子对接筛选、ADME性质预测、专利检索。上述虚拟筛选系统获得了16种潜在活性的新型抑制剂。随后的酶活性分析显示,一个命中的化合物ZA16具有纳米级的抑制效力,验证了大规模虚拟筛选系统的有效性。这种方法可以成为指导跨不同化合物库的药物发现和设计的强大框架。此外,分子动力学模拟揭示了这种新型抑制剂与TRKA蛋白结构域之间的相互作用,强调了MET592中氢键的关键作用。通过对MM/GBSA结合自由能的分析,本研究为针对同一蛋白的药物发现和设计提供了重要的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Discovery of novel tropomyosin receptor kinase A inhibitors by virtual screening merging ligand-based and structure-based methods

Discovery of novel tropomyosin receptor kinase A inhibitors by virtual screening merging ligand-based and structure-based methods
Tropomyosin receptor kinase (TRK) is a crucial broad-spectrum anticancer target. Its inhibitors are among the first “tumor agnostic” drugs approved for pan-cancer therapy. TRKA, a subtype of tropomyosin receptor kinase, is one of the most frequently detected in human cancers and has emerged as a key target for anticancer drug development. Our work employed a virtual screening approach integrating ligand- and structure-based strategies to identify novel inhibitors targeting TRKA. A large-scale virtual screening system was constructed for a screening database of 9.87 million commercial compounds containing a broad chemical space. A funnel-shaped multistage combinatorial screening process was adopted, with the combined time-consuming and precision of the methods in the following order: screening based on pharmacophore and shape, screening based on the QSAR model obtained from the prequel study, screening based on molecular docking, prediction of ADME properties, and patent searching. The above virtual screening system received sixteen potentially active novel inhibitors. Subsequent enzymatic activity assays revealed one hit compound ZA16 with nanomolar-level inhibitory potency, validating the efficacy of the large-scale virtual screening system. This approach can be a robust framework for guiding drug discovery and design across diverse compound libraries. Furthermore, molecular dynamics simulations revealed the interaction between this novel inhibitor and the TRKA protein domain, emphasizing the crucial role of the hydrogen bond at MET592. Through the analysis of MM/GBSA binding free energy, this study offered significant insights for drug discovery and design targeting the same protein.
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来源期刊
Bioorganic & Medicinal Chemistry
Bioorganic & Medicinal Chemistry 医学-生化与分子生物学
CiteScore
6.80
自引率
2.90%
发文量
413
审稿时长
17 days
期刊介绍: Bioorganic & Medicinal Chemistry provides an international forum for the publication of full original research papers and critical reviews on molecular interactions in key biological targets such as receptors, channels, enzymes, nucleotides, lipids and saccharides. The aim of the journal is to promote a better understanding at the molecular level of life processes, and living organisms, as well as the interaction of these with chemical agents. A special feature will be that colour illustrations will be reproduced at no charge to the author, provided that the Editor agrees that colour is essential to the information content of the illustration in question.
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