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Virtual screening and molecular dynamics simulation study of plant-derived compounds to identify potential inhibitors of main protease from SARS-CoV-2.
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.
Afiliação
  • Mahmud S; Genetic Engineering and Biotechnology at the University of Rajshahi, Bangladesh.
  • Uddin MAR; Department of Biochemistry and Biotechnology, University of Science and Technology Chittagong, Bangladesh.
  • Paul GK; Department of Genetic Engineering and Biotechnology at the University of Rajshahi, Bangladesh.
  • Shimu MSS; Department of Genetic Engineering and Biotechnology, University of Rajshahi, Bangladesh.
  • Islam S; Department of Biochemistry and Biotechnology, University of Science and Technology Chittagong, Bangladesh.
  • Rahman E; Genetic Engineering and Biotechnology at the University of Rajshahi, Bangladesh.
  • Islam A; Department of Genetic Engineering and Biotechnology, University of Rajshahi, Bangladesh.
  • Islam MS; Department of Molecular Plant Pathology, Huazhong Agricultural University, Wuhan, China.
  • Promi MM; Genetic Engineering and Biotechnology at the University of Rajshahi, Bangladesh.
  • Emran TB; Department of Pharmacy at the BGC Trust University, Bangladesh.
  • Saleh MA; University of Chittagong, PhD from Graduate School of Medicines, Kanazawa University, Japan.
Brief Bioinform ; 22(2): 1402-1414, 2021 03 22.
Article em En | MEDLINE | ID: mdl-33517367
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Inibidores de Proteases / SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Inibidores de Proteases / SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article