| Literature DB >> 33517367 |
Shafi Mahmud1, Mohammad Abu Raihan Uddin2, Gobindo Kumar Paul3, Mst Sharmin Sultana Shimu4, Saiful Islam2, Ekhtiar Rahman1, Ariful Islam4, Md Samiul Islam5, Maria Meha Promi1, Talha Bin Emran6,7, Md Abu Saleh8.
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 (Mpro) 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.Entities:
Keywords: ADMET; COVID-19; MM-GBSA; Molecular dynamics; SARS-CoV-2; Virtual screening
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Year: 2021 PMID: 33517367 PMCID: PMC7929365 DOI: 10.1093/bib/bbaa428
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622