WATER Laboratory, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India.
Mol Divers. 2022 Aug;26(4):2135-2147. doi: 10.1007/s11030-021-10320-5. Epub 2021 Sep 21.
Microbial biofilms play a critical role in environmental biotechnology and associated applications. Biofilm production can be enhanced by inhibiting the function of proteins that negatively regulate their formation. With this objective, an in silico approach was adopted to identify competitive inhibitors of eight biofilm-antagonistic proteins, namely AbrB and SinR (from Bacillus subtilis) and AmrZ, PDE (EAL), PslG, RetS, ShrA and TpbA (from Pseudomonas aeruginosa). Fifteen inhibitors that structurally resembled the natural ligand of each protein were shortlisted using ligand-based and structure-based virtual screening. The top four inhibitors obtained from molecular docking using Autodock Vina were further docked using SwissDock and DOCK 6.9 to obtain a consensus hit for each protein based on different scoring functions. Further analysis of the protein-ligand complexes revealed that these top inhibitors formed significant non-covalent interactions with their respective protein binding sites. The eight protein-ligand complexes were then subjected to molecular dynamics simulations for 30 ns using GROMACS. RMSD and radius of gyration values of 0.1-0.4 nm and 1.0-3.5 nm, respectively, along with hydrogen bond formation throughout the trajectory indicated that all the complexes remained stable, compact and intact during the simulation period. Binding energy values between -20 and -77 kJ/mol obtained from MM-PBSA calculations further confirmed the high affinities of the eight inhibitors for their respective receptors. The outcome of this study holds great promise to enhance biofilms that are central to biotechnological processes associated with microbial electrochemical technologies, wastewater treatment, bioremediation and the industrial production of value-added products.
微生物生物膜在环境生物技术及相关应用中起着至关重要的作用。通过抑制负调控其形成的蛋白质的功能,可以增强生物膜的产生。为此,采用了一种计算方法来识别八种生物膜拮抗蛋白(即来自枯草芽孢杆菌的 AbrB 和 SinR 以及来自铜绿假单胞菌的 AmrZ、PDE(EAL)、PslG、RetS、ShrA 和 TpbA)的竞争性抑制剂。使用基于配体和基于结构的虚拟筛选,从短名单中筛选出了 15 种结构上与每种蛋白质天然配体相似的抑制剂。使用 Autodock Vina 进行分子对接获得的前四个抑制剂,进一步使用 SwissDock 和 DOCK 6.9 进行对接,根据不同的评分函数为每种蛋白质获得共识命中。对蛋白质-配体复合物的进一步分析表明,这些顶级抑制剂与各自的蛋白质结合位点形成了重要的非共价相互作用。然后,将这 8 个蛋白质-配体复合物使用 GROMACS 进行 30ns 的分子动力学模拟。0.1-0.4nm 和 1.0-3.5nm 范围内的 RMSD 和旋转半径值以及整个轨迹中氢键的形成表明,在模拟过程中,所有复合物都保持稳定、紧凑和完整。从 MM-PBSA 计算得出的-20 到-77kJ/mol 之间的结合能值进一步证实了这 8 种抑制剂与各自受体的高亲和力。这项研究的结果有望增强与微生物电化学技术、废水处理、生物修复和增值产品工业生产相关的生物技术过程中的生物膜。