Department of Biotechnology, Institute of Engineering & Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow 226021, India.
Department of Microbiology, King George Medical University, Lucknow 226003, India.
Molecules. 2023 Feb 8;28(4):1652. doi: 10.3390/molecules28041652.
The emergence of multi-drug-resistant () strains has rendered many of the currently available anti-TB drugs ineffective. Hence, there is a pressing need to discover new potential drug targets/candidates. In this study, attempts have been made to identify novel inhibitors of the ribonuclease VapC2 of H37Rv using various computational techniques. Ribonuclease VapC2 H37Rv's protein structure was retrieved from the PDB databank, 22 currently used anti-TB drugs were retrieved from the PubChem database, and protein-ligand interactions were analyzed by docking studies. Out of the 22 drugs, rifampicin (RIF), being a first-line drug, showed the best binding energy (-8.8 Kcal/mol) with H37Rv VapC2; hence, it was selected as a parent molecule for the design of its derivatives. Based on shape score and radial plot criteria, out of 500 derivatives designed through SPARK (Cresset, Royston, UK) program, the 10 best RIF derivatives were selected for further studies. All the selected derivatives followed the ADME criteria concerning drug-likeness. The docking of ribonuclease VapC2 with RIF derivatives revealed the best binding energy of -8.1 Kcal/mol with derivative 1 (i.e., RIF-155841). A quantitative structure-activity relationship study revealed that derivative 1's activity assists in the inhibition of ribonuclease VapC2. The stability of the VapC2-RIF155841 complex was evaluated using molecular dynamics simulations for 50 ns and the complex was found to be stable after 10 nsec. Further, a chemical synthesis scheme was designed for the newly identified RIF derivative (RIF-155841), which verified that its chemical synthesis is possible for future in vitro/in vivo experimental validation. Overall, this study evaluated the potential of the newly designed RIF derivatives with respect to the VapC2 protein, which is predicted to be involved in some indispensable processes of the related pathogen. Future experimental studies regarding RIF-155841, including the exploration of the remaining RIF derivatives, are warranted to verify our current findings.
耐多药 ()菌株的出现使得许多现有的抗结核药物无效。因此,迫切需要发现新的潜在药物靶点/候选物。在这项研究中,我们尝试使用各种计算技术来鉴定 H37Rv 的核糖核酸酶 VapC2 的新型抑制剂。从 PDB 数据库中检索到 H37Rv 的核糖核酸酶 VapC2 蛋白质结构,从 PubChem 数据库中检索到 22 种现有的抗结核药物,并通过对接研究分析蛋白质-配体相互作用。在 22 种药物中,利福平(RIF)作为一线药物,与 H37Rv VapC2 具有最佳的结合能(-8.8 Kcal/mol);因此,它被选为设计其衍生物的母体分子。根据形状评分和径向图标准,从通过 SPARK(Cresset,Royston,英国)程序设计的 500 种衍生物中,选择了 10 种最佳的 RIF 衍生物进行进一步研究。所有选定的衍生物都符合药物相似性的 ADME 标准。核糖核酸酶 VapC2 与 RIF 衍生物的对接揭示了衍生物 1 的最佳结合能为-8.1 Kcal/mol。构效关系研究表明,衍生物 1 的活性有助于抑制核糖核酸酶 VapC2。通过分子动力学模拟对 VapC2-RIF155841 复合物进行了 50 ns 的稳定性评估,发现复合物在 10 nsec 后稳定。此外,还设计了新鉴定的 RIF 衍生物(RIF-155841)的化学合成方案,验证了其化学合成的可能性,为未来的体外/体内实验验证提供了依据。总的来说,这项研究评估了新设计的 RIF 衍生物对 VapC2 蛋白的潜在作用,VapC2 蛋白被预测参与了相关病原体的某些不可或缺的过程。未来关于 RIF-155841 的实验研究,包括对剩余 RIF 衍生物的探索,都是有必要的,以验证我们目前的发现。