Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, India.
Interdiscip Sci. 2019 Mar;11(1):135-144. doi: 10.1007/s12539-017-0261-4. Epub 2017 Oct 31.
Enterobacter aerogenes have been reported as important opportunistic and multi-resistant bacterial pathogens for humans during the last three decades in hospital wards. The emergence of drug-resistant E. aerogenes demands the need for developing new drugs. Peptidoglycan is an important component of the cell wall of bacteria and the peptidoglycan biochemical pathway is considered as the best source of antibacterial targets. Within this pathway, four Mur ligases MurC, MurD, MurE, and MurF are responsible for the successive additions of L-alanine and suitable targets for developing novel antibacterial drugs. As an inference from this fact, we modeled the three-dimensional structure of above Mur ligases using best template structures available in PDB and analyzed its common binding features. Structural refinement and energy minimization of the predicted Mur ligases models is also being done using molecular dynamics studies. The models of Mur ligases were further investigated for in silico docking studies using bioactive plant compounds from the literature. Interestingly, these results indicate that four plant compounds Isojuripidine, Atroviolacegenin, Porrigenin B, and Nummularogenin showing better docking results in terms of binding energy and number of hydrogen bonds. All these four compounds are spirostan-based compounds with differences in side chains and the amino acid such as ASN, LYS, THR, HIS, ARG (polar) and PHE, GLY, VAL, ALA, MET (non-polar) playing active role in binding site of all four Mur ligases. Overall, in the predicted model, the four plant compounds with its binding features could pave way to design novel multi-targeted antibacterial plant-based bioactive compounds specific to Mur ligases for the treatment of Enterobacter infections.
产气肠杆菌在过去三十年中一直被报道为医院病房中重要的机会性和多耐药细菌病原体。耐药产气肠杆菌的出现要求开发新的药物。肽聚糖是细菌细胞壁的重要组成部分,肽聚糖生物化学途径被认为是抗菌靶标的最佳来源。在该途径中,Mur 连接酶 MurC、MurD、MurE 和 MurF 负责 L-丙氨酸的连续添加,是开发新型抗菌药物的合适靶点。基于这一事实,我们使用 PDB 中可用的最佳模板结构对上述 Mur 连接酶进行了三维结构建模,并分析了其共同的结合特征。还使用分子动力学研究对预测的 Mur 连接酶模型进行了结构细化和能量最小化。使用文献中的生物活性植物化合物对 Mur 连接酶模型进行了进一步的计算机对接研究。有趣的是,这些结果表明,四种植物化合物 Isojuripidine、Atroviolacegenin、Porrigenin B 和 Nummularogenin 在结合能和氢键数量方面表现出更好的对接结果。所有这四种化合物都是螺甾烷类化合物,侧链和氨基酸(如 ASN、LYS、THR、HIS、ARG(极性)和 PHE、GLY、VAL、ALA、MET(非极性))存在差异,在所有四个 Mur 连接酶的结合位点中发挥作用。总的来说,在预测的模型中,这四种具有结合特征的植物化合物可能为设计针对 Mur 连接酶的新型多靶抗菌植物源性生物活性化合物铺平道路,用于治疗肠杆菌感染。