Department of Life Science, School of Basic Science and Research, Sharda University, Greater Noida, India.
Computational Chemistry and Drug Discovery Division, Quanta Calculus, Greater Noida, India.
J Biomol Struct Dyn. 2024 Aug;42(13):6850-6862. doi: 10.1080/07391102.2023.2245059. Epub 2023 Aug 7.
Tuberculosis infection has always been a global concern for public health, and the mortality rate has increased tremendously every year. The ability of the resuscitation () from the dormant state is one of the major reasons for the epidemic spread of tuberculosis infection, especially latent tuberculosis infection (LTBI). The element that encourages resuscitation, RpfB (resuscitation-promoting factors B), is mostly in charge of bringing out of slumber. This reason makes RpfB a promising target for developing tuberculosis drugs because of the effects of latent tuberculosis. Therefore, this work was executed using a computational three-level screening of the Selleckhem antibiotics database consisting of 462 antibiotics against the ligand binding region of the RpfB protein, followed by an estimation of binding free energy for ideal identification and confirmation of potential RpfB inhibitor. Subsequently, three antibiotic drug molecules, i.e., Amikacin hydrate (-66.87 kcal/mol), Isepamicin sulphate (-60.8 kcal/mol), and Bekanamycin (-46.89 kcal/mol), were selected on the basis of their binding free energy value for further computational studies in comparison to reference ligand, 4-benzoyl-2-nitrophenyl thiocyanate (NPT7). Based on the intermolecular interaction profiling, 200 ns molecular dynamic simulation (MD), post-simulation analysis and principal component analysis (PCA), the selected antibiotics showed substantial stability with the RpfB protein compared to the NPT7 inhibitor. Conclusively based on the computational results, the preferred drugs can be potent inhibitors of the RpfB protein, which can be further validated using research and enzyme inhibition to understand their therapeutic activity against tuberculosis infection.Communicated by Ramaswamy H. Sarma.
结核病感染一直是全球公共卫生关注的焦点,其死亡率每年都在大幅上升。休眠状态下的复苏能力是结核病感染流行的主要原因之一,尤其是潜伏性结核病感染(LTBI)。促使复苏的因素 RpfB(复苏促进因子 B)主要负责唤醒休眠状态。由于潜伏性结核病的影响,这使得 RpfB 成为开发结核病药物的有前途的靶点。因此,这项工作使用了针对 RpfB 蛋白配体结合区域的 Selleckhem 抗生素数据库的计算三级筛选,该数据库包含 462 种抗生素,随后对结合自由能进行估计,以理想地识别和确认潜在的 RpfB 抑制剂。随后,根据结合自由能值,选择了三种抗生素药物分子,即阿米卡星水合物(-66.87 kcal/mol)、异帕米星硫酸盐(-60.8 kcal/mol)和贝卡那霉素(-46.89 kcal/mol),用于与参考配体 4-苯甲酰基-2-硝基苯硫氰酸酯(NPT7)进行进一步的计算研究。基于分子间相互作用分析、200 ns 分子动力学模拟(MD)、模拟后分析和主成分分析(PCA),与 NPT7 抑制剂相比,所选抗生素与 RpfB 蛋白表现出相当的稳定性。综上所述,根据计算结果,首选药物可能是 RpfB 蛋白的有效抑制剂,可以使用研究和酶抑制进一步验证它们对结核病感染的治疗活性。由 Ramaswamy H. Sarma 传达。