Virtual screening and molecular dynamics simulation study of plant-derived compounds to identify potential inhibitors of main protease from SARS-CoV-2. Issue 2 (1st February 2021)

• Record Type: Journal Article
• Authors: Mahmud, Shafi; Uddin, Mohammad Abu Raihan; Paul, Gobindo Kumar; Shimu, Mst Sharmin Sultana; Islam, Saiful; Rahman, Ekhtiar; Islam, Ariful; Islam, Md Samiul; Promi, Maria Meha; Emran, Talha Bin; Saleh, Md Abu
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 2(2021)
• Page Start: 1402
• Page End: 1414
• Publication Date: 2021-02-01
• Subjects: COVID-19 -- SARS-CoV-2 -- Virtual screening -- MM-GBSA -- ADMET -- Molecular dynamics; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa428
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: The new coronavirus (SARS-CoV-2) halts the world economy and caused unbearable medical emergency due to high transmission rate and also no effective vaccine and drugs has been developed which brought the world pandemic situations. The main protease (M pro ) of SARS-CoV-2 may act as an effective target for drug development due to the conservation level. Herein, we have employed a rigorous literature review pipeline to enlist 3063 compounds from more than 200 plants from the Asian region. Therefore, the virtual screening procedure helps us to shortlist the total compounds into 19 based on their better binding energy. Moreover, the Prime MM-GBSA procedure screened the compound dataset further where curcumin, gartanin and robinetin had a score of (−59.439, −52.421 and − 47.544) kcal/mol, respectively. The top three ligands based on binding energy and MM-GBSA scores have most of the binding in the catalytic groove Cys145, His41, Met165, required for the target protein inhibition. The molecular dynamics simulation study confirms the docked complex rigidity and stability by exploring root mean square deviations, root mean square fluctuations, solvent accessible surface area, radius of gyration and hydrogen bond analysis from simulation trajectories. The post-molecular dynamics analysis also confirms the interactions of the curcumin, gartanin and robinetin in the similar binding pockets. Our computational drug designing approach may contribute to the development of drugs against SARS-CoV-2. Graphical Abstract: