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Anti-COVID-19 terpenoid from marine sources: A docking, admet and molecular dynamics study.
Sepay, Nayim; Sekar, Aishwarya; Halder, Umesh C; Alarifi, Abdullah; Afzal, Mohd.
  • Sepay N; Department of Chemistry, Jadavpur University, Kolkata-70032, India.
  • Sekar A; Department of Bioinformatics, Stella Maris College (Autonomous), Chennai, Tamilnadu-600 086, India.
  • Halder UC; Department of Chemistry, Jadavpur University, Kolkata-70032, India.
  • Alarifi A; Catalytic Chemistry Research Chair, Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
  • Afzal M; Catalytic Chemistry Research Chair, Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
J Mol Struct ; 1228: 129433, 2021 Mar 15.
Article in English | MEDLINE | ID: covidwho-2095810
ABSTRACT
Traditional medicines contain natural products (NPs) as main ingredient which always give new direction and paths to develop new advanced medicines. In the COVID-19 pandemic, NPs can be used or can help to find new compound against it. The SARS coronavirus-2 main protease (SARS CoV-2 Mpro) enzyme, arbitrate viral replication and transcription, is target here. The study show that, from the electronic features and binding affinity of all the NPs with the enzyme, the compounds with higher hydrophobicity and lower flexibility can be more favorable inhibitor. More than fifty NPs were screened for the target and one terpenoid (T3) from marine sponge Cacospongia mycofijiensis shows excellent SARS CoV-2 Mpro inhibitory activity in comparison with known peptide based inhibitors. The molecular dynamics simulation studies of the terpenoids with the protein indicates that the complex is stable and hydrogen bonds are involved during the complexation. Considering binding affinity, bioavailability, pharmacokinetics and toxicity of the compounds, it is proposed that the NP T3 can act as a potential drug candidate against COVID-19 virus.
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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Mol Struct Year: 2021 Document Type: Article Affiliation country: J.molstruc.2020.129433

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: J Mol Struct Year: 2021 Document Type: Article Affiliation country: J.molstruc.2020.129433