利用基于药理的虚拟筛选、分子对接、分子动力学模拟和主成分分析发现新型异位SHP2抑制剂

Pharmaceuticals Pub Date : 2024-07-12 DOI:10.3390/ph17070935
Pooja Singh, Vikas Kumar, Keun-Woo Lee, Jong Chan Hong
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引用次数: 0

摘要

SHP2 属于细胞质非受体蛋白酪氨酸磷酸酶类。它在胃癌、白血病和乳腺癌等多种癌症的发病过程中发挥着关键作用。因此,SHP2 作为抑制 SHP2 依赖性癌症中肿瘤细胞增殖的潜在靶点受到了研究人员的关注。本研究采用了基于药效学的虚拟筛选、分子对接、分子动力学(MD)模拟、MM/PBSA 和主成分分析(PCA),然后进行 ADME 预测。我们从 100 多万个化合物的集体数据库中选出了三个潜在的命中化合物。我们利用 500 ns MD 模拟和结合自由能计算分析了所选命中化合物-蛋白质复合物的稳定性。与参考分子(SHP099)的结合自由能ΔG(-71.48 kJ/mol)相比,确定的命中化合物 Lig_1、Lig_6 和 Lig_14 的结合自由能分别为 -161.49 kJ/mol、-151.28 kJ/mol 和 -107.13 kJ/mol。我们的研究结果表明,所发现的化合物可作为选择性 SHP2 异位抑制癌症的候选化合物。
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 Allosteric SHP2 Inhibitor Using Pharmacophore-Based Virtual Screening, Molecular Docking, Molecular Dynamics Simulation, and Principal Component Analysis
SHP2 belongs to a cytoplasmic non-receptor protein tyrosine phosphatase class. It plays a critical role in the development of various cancers, such as gastric cancer, leukemia, and breast cancer. Thus, SHP2 has gained the interest of researchers as a potential target for inhibiting tumor cell proliferation in SHP2-dependent cancers. This study employed pharmacophore-based virtual screening, molecular docking, molecular dynamic (MD) simulations, MM/PBSA, and principal component analysis (PCA), followed by ADME prediction. We selected three potential hits from a collective database of more than one million chemical compounds. The stability of these selected hit–protein complexes was analyzed using 500 ns MD simulations and binding free energy calculations. The identified hits Lig_1, Lig_6, and Lig_14 demonstrated binding free energies of −161.49 kJ/mol, −151.28 kJ/mol, and −107.13 kJ/mol, respectively, compared to the reference molecule (SHP099) with a ΔG of −71.48 kJ/mol. Our results showed that the identified compounds could be used as promising candidates for selective SHP2 allosteric inhibition in cancer.
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