Department of Microbiology, Modern College of Arts, Science and Commerce, Shivajinagar, Pune, 5, India.
Department of Microbiology, St. Pius X College, Rajapuram, Kasaragod, Kerala, India.
Comput Biol Med. 2023 May;157:106793. doi: 10.1016/j.compbiomed.2023.106793. Epub 2023 Mar 16.
Multidrug-resistant Acinetobacter baumannii (MDRAb), a priority-I pathogen declared by the World Health Organization, became a potential healthcare concern worldwide with a high mortality rate. Thus, the identification of putative molecular targets and potential lead molecules is an important concern in healthcare. The present study aimed to screen a prospective molecular target and effectual binders for the drug discovery of MDRAb by computational virtual screening approach. Based on the functional role, γ-carboxymuconolactone decarboxylase (CMD) was prioritized as the target and its three-dimensional (3D) structure was computationally modeled. Based on the availability of the 3D structure, twenty-five herbal molecules were selected by database search, and their drug-likeliness, pharmacokinetic, and toxicity features were predicted. The effectual binding of the selected molecules towards CMD was predicted by molecular docking. The stability of the best-docked complexes was predicted by molecular dynamics (MD) simulation for 100 ns and binding energy calculations were carried out by molecular mechanics generalized Born and surface area solvation (MM/GBSA) method. Out of twenty-five molecules screened, hirsutine (an indole alkaloid of Uncaria rhynchophylla) and thymoquinone (a phytochemical of Nigella sativa) were qualified for drug likeliness, pharmacokinetic, and toxicity features and demonstrated significant effectual binding to CMD when compared with the binding of co-crystallized inhibitor and CMD (control). The docked complexes of hirsutine and thymoquinone, and CMD were stabilized by the binding energies of -8. 30 and -8. 46 kcal/mol respectively. These molecules were qualified in terms of ideal drug likeliness, ADME, and toxicity properties. MD simulation studies showed that the ligand-protein complexes were stable throughout the simulation. The binding free energies of the complexes by MMGBSA were estimated to be -42.08157745 kcal/mol and -36.58618242 kcal/mol for hirsutine and thymoquinone respectively when compared with the calculated binding free energy of the control (-28.75032666 kcal/mol). This study concluded that hirsutine and thymoquinone can act as potential lead molecules against CMD and the present hypothesis can be scaled up to develop potential inhibitors against MDRAb.
耐多药鲍曼不动杆菌(MDRAb)是世界卫生组织宣布的优先 I 级病原体,由于其高死亡率,已成为全球潜在的医疗保健关注点。因此,鉴定潜在的分子靶标和潜在的先导分子是医疗保健领域的一个重要关注点。本研究旨在通过计算虚拟筛选方法筛选潜在的分子靶标和有效的结合物,用于 MDRAb 的药物发现。基于功能作用,γ-羧基戊烯二酰基辅酶 A 脱羧酶(CMD)被优先选为靶标,并对其三维(3D)结构进行了计算建模。基于 3D 结构的可用性,通过数据库搜索选择了 25 种草药分子,并预测了它们的药物相似性、药代动力学和毒性特征。通过分子对接预测所选分子对 CMD 的有效结合。通过分子动力学(MD)模拟预测最佳对接复合物的稳定性,模拟时间为 100ns,并通过分子力学广义 Born 和表面面积溶剂化(MM/GBSA)方法计算结合能。在筛选的 25 种分子中,钩藤碱(钩藤的吲哚生物碱)和百里醌(黑种草的植物化学物质)具有良好的药物相似性、药代动力学和毒性特征,并与与 CMD(对照)结合的共晶抑制剂相比,对 CMD 表现出显著的有效结合。钩藤碱和百里醌与 CMD 的对接复合物通过结合能分别稳定在-8.30 和-8.46 kcal/mol。这些分子在理想的药物相似性、ADME 和毒性特性方面都符合要求。MD 模拟研究表明,配体-蛋白质复合物在整个模拟过程中都是稳定的。通过 MMGBSA 估算的复合物的结合自由能分别为-42.08157745 kcal/mol 和-36.58618242 kcal/mol,与对照的计算结合自由能(-28.75032666 kcal/mol)相比,分别为钩藤碱和百里醌。该研究得出结论,钩藤碱和百里醌可以作为针对 CMD 的潜在先导分子,本研究假设可以扩大规模以开发针对 MDRAb 的潜在抑制剂。