Department of Physical & Computational Chemistry, Chemistry and Chemical Engineering Research Center of Iran, Tehran, 1496813151, Iran.
Department of Mechanical and Aerospace Engineering, Shiraz University of Technology, Shiraz, 71557-13876, Iran.
Arch Biochem Biophys. 2021 Mar 15;699:108747. doi: 10.1016/j.abb.2020.108747. Epub 2021 Jan 7.
One of the most prevalent cancers in men is prostate cancer and could be managed with immunotoxins or antibody treatment. Because of the substantial rise of the Prostate-Specific Antigen and the Prostate-Specific Membrane Antigen (PSMA), cancer vaccination should be rendered with these antigens. Through pharmacodynamic experiments in a library of natural compounds from ZINC database, the current research sought to identify compounds that could suppress PSMA protein. To test the most productive compounds for further research, the Library has been scanned with Pharmacophore and ADMET analysis followed by molecular docking methods in the first phase. After selecting 15 ligands with the best pose related to docking results, to evaluate the stability of the ligand-protein bounds of the compounds, a molecular dynamics simulation considering the effect of the presence of zinc ions on the protein structure was performed. The measurement of ligand binding modes and free energy has shown that four compounds, including Z10, Z06, Z01, and Z03, have formed critical interactions with the active site's residues. Besides, multiple approaches were employed to determine their inhibition rating and describe the variables that facilitate the attachment of ligands to the protein active site. The results are obtained from the MMPBSA/GBSA analysis of four selected small molecules (Z10, Z06, Z01, and Z03), which are very close to the IC50 value of reference ligand (DCIBzl); they are -13.85 kcal/mol, -12.58 kcal/mol, -10.71 kcal/mol and -9.39 kcal/mol respectively. Finally, we evaluate the results obtained from selected ligands using hydrogen bond and decomposition analyzes. We have examined the effective interactions between ligands and S1/S1'pockets in protein. Our computational results illustrate the design of more efficient inhibitors of PSMA.
在男性中最常见的癌症之一是前列腺癌,可以通过免疫毒素或抗体治疗来治疗。由于前列腺特异性抗原和前列腺特异性膜抗原(PSMA)的大量增加,应该用这些抗原进行癌症疫苗接种。通过从 ZINC 数据库中的天然化合物文库进行药效学实验,本研究旨在寻找能够抑制 PSMA 蛋白的化合物。为了测试进一步研究最有成效的化合物,在第一阶段对文库进行了基于药效团和 ADMET 分析的扫描,随后采用分子对接方法。在选择了 15 个与对接结果相关的最佳构象的配体后,为了评估化合物与蛋白质结合的稳定性,考虑到锌离子对蛋白质结构的影响,进行了分子动力学模拟。配体结合模式和自由能的测量表明,包括 Z10、Z06、Z01 和 Z03 在内的四种化合物与活性位点的残基形成了关键相互作用。此外,还采用了多种方法来确定它们的抑制率,并描述促进配体与蛋白质活性位点结合的变量。结果是从对四种选定小分子(Z10、Z06、Z01 和 Z03)的 MMPBSA/GBSA 分析中获得的,非常接近参考配体(DCIBzl)的 IC50 值;它们分别为-13.85 kcal/mol、-12.58 kcal/mol、-10.71 kcal/mol 和-9.39 kcal/mol。最后,我们使用氢键和分解分析来评估从选定配体获得的结果。我们检查了配体与蛋白质中 S1/S1'袋之间的有效相互作用。我们的计算结果说明了设计更有效的 PSMA 抑制剂的方法。