对接(动物)
化学
分子动力学
结合位点
蛋白酶
生物信息学
立体化学
生物化学
计算生物学
酶
生物
计算化学
医学
护理部
基因
作者
Ramasamy Ramasubburayan,Karteek Rao Amperayani,Varadhi Govinda,Dhanraj Ganapathy,Manoharan Athista,Sonalismita Mahapatra,S. Prakash
标识
DOI:10.1080/07391102.2023.2275185
摘要
COVID-19 is a deadly pandemic caused by Corona virus leading to millions of deaths worldwide. Till today no medicine was available to cure this disease. This study selected 262 potential bioactive natural products derived from mangroves to inhibit the main protease (Mpro) and receptor-binding domain (RBD) protein of the COVID-19 virus. All the ligands were subjected to Adsorption Digestion Metabolism Excretion and Toxicity (ADMET) predictions and docking studies using AutodockVina. Among all the ligands, NP_143 (Shearinine A) and NP_242 (Amentoflavone), having the highest docking score of 10.2 and 10.1 Kj/mole, respectively, were picked for 100 ns of Molecular Dynamics using GROMACS. The trajectories generated were used to estimate Root mean square deviation (RMSD), Root mean square fluctuations (RMSF), Radius of Gyrations (RG), Solvent accessible surface area (SASA), and Hydrogen bonds. From the data generated, both the ligands have good binding ability at the active site of Mpro protein and do not deviate much. They have strong interactions with the amino acids during the 100 ns of simulations and can thus be considered potential drug candidates.Communicated by Ramaswamy H. Sarma.
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