Molecular Docking Study of Several Antiviral Drugs to Defeat Covid-19

J. Tuteja, Priti Patidar, Shilpa Mathew, Anil S. Prajapati
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Abstract

Corona virus is one of the significant pathogens that destructs the human respiratory functioning Deaths and casualties caused by coronaviruses (CoVs) include the severe acute respiratory syndrome (SARS)-CoV and the Middle East respiratory syndrome (MERS)-CoV The aim of the work was to compare several antiviral drugs and find out which is the most active drug that might be used in treatment for COVID -19 In this study Molecular Docking approach was used to determine the binding affinities of 62 antiviral molecules The study was carried out using Molegro Virtual Docker 6 0 with PDB 2GTB procured from RCSB Protein Data Bank Simeprevir and Telaprevir were discovered to be most potent having high MolDock and Rerank scores of -225 158, -78 4383 and -209 467, -136 155 respectively Further studies may be conducted to design more potent analogue and defeat COVID-19
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几种抗病毒药物对抗新冠病毒的分子对接研究
冠状病毒是破坏人类呼吸功能的重要病原体之一,冠状病毒(cov)包括严重急性呼吸综合征(SARS)-CoV和中东呼吸综合征(MERS)-CoV。本研究的目的是比较几种抗病毒药物,找出哪一种最有效的药物可能用于治疗COVID -19。本研究采用分子对接方法确定了62种药物的结合亲和力该研究使用来自RCSB蛋白质数据库的Molegro Virtual Docker 60与PDB 2GTB进行研究,发现Simeprevir和Telaprevir的MolDock和Rerank评分分别为-225 158、-78 4383和-209 467、-136 155,其效力最强
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