Halimi Mohammad, Hajipasha Amirhossein
Department of Biology, Islamic Azad University, Babol Branch, Babol, Iran.
Department of Biology, Islamic Azad University, Babol Branch, Babol, Iran.
J Mol Graph Model. 2022 Nov;116:108272. doi: 10.1016/j.jmgm.2022.108272. Epub 2022 Jul 13.
Hypertension is the main cause of human death and the Renin- Angiotensin- Aldosterone System (RAAS) has a key role in the control of human blood pressure. In this research a multi-step virtual screening strategy was applied in order to find new potential renin inhibitors. The crystal structure of renin-aliskiren complex was explored and receptor-ligand pharmacophore model was developed and validated using pharmit. ZINC database was screened by pharmacophore model and Lipinski's rule of five. Thereafter, the retrieved hits were docked in the active site of renin by using Vina. ADME parameters and toxicity of the filtered compounds were approximated using in silico methods and the selected compounds were subjected to high performance docking in order to improve the accuracy of screening. The non-bond interactions of the hit molecules with renin were explored and the compounds with the highest affinity and appropriate interactions were selected. In the last step, molecular dynamic simulation studies were performed on the complex of renin with aliskiren and three top-ranked structures including ZINC6085004, ZINC426421106, and ZINC5481346. RMSD, RMSF, Rg and number of hydrogen bonds were calculated. The binding free energy was calculated using the MM/PBSA method. The result of MD simulation indicated the stable binding of ZINC426421106 and ZINC5481346 with the active site of renin. According to this in-silico study these two compounds are drug-like, nontoxic, and have a high potential for inhibiting renin and could serve as appropriate lead molecules for the development of renin inhibitors as antihypertensive agents.
高血压是人类死亡的主要原因,肾素-血管紧张素-醛固酮系统(RAAS)在人体血压控制中起关键作用。在本研究中,应用了一种多步骤虚拟筛选策略以寻找新的潜在肾素抑制剂。探索了肾素-阿利吉仑复合物的晶体结构,并使用Pharmit开发并验证了受体-配体药效团模型。通过药效团模型和Lipinski五规则筛选ZINC数据库。此后,使用Vina将检索到的命中物对接至肾素的活性位点。使用计算机模拟方法估算过滤后化合物的ADME参数和毒性,并对选定的化合物进行高性能对接以提高筛选的准确性。探索了命中分子与肾素的非键相互作用,并选择了具有最高亲和力和适当相互作用的化合物。在最后一步中,对肾素与阿利吉仑以及三个排名靠前的结构(包括ZINC6085004、ZINC426421106和ZINC5481346)的复合物进行了分子动力学模拟研究。计算了均方根偏差(RMSD)、均方根波动(RMSF)和回旋半径(Rg)以及氢键数量。使用MM/PBSA方法计算结合自由能。分子动力学模拟结果表明ZINC426421106和ZINC5481346与肾素活性位点稳定结合。根据这项计算机模拟研究,这两种化合物具有类药物性质、无毒,并且具有很高的抑制肾素的潜力,可以作为开发肾素抑制剂作为抗高血压药物的合适先导分子。