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Computational studies on the design of NCI natural products as inhibitors to SARS-CoV-2 main protease.
Durgam, Laxman; Guruprasad, Lalitha.
Afiliação
  • Durgam L; School of Chemistry, University of Hyderabad, Hyderabad, India.
  • Guruprasad L; School of Chemistry, University of Hyderabad, Hyderabad, India.
J Biomol Struct Dyn ; 41(9): 3741-3751, 2023 06.
Article em En | MEDLINE | ID: mdl-35333147
ABSTRACT
The pandemic coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in more than 5 million deaths globally. Currently there are no effective drugs available to treat COVID-19. The viral protease replication can be blocked by the inhibition of main protease that is encoded in polyprotein 1a and is therefore a potential protein target for drug discovery. We have carried out virtual screening of NCI natural compounds followed by molecular docking in order to identify hit molecules as probable SARS-CoV-2 main protease inhibitors. The molecular dynamics (MD) simulations of apo form in complex with N3, α-ketoamide and NCI natural products was used to validate the screened compounds. The MD simulations trajectories were analyzed using normal mode analysis and principal component analysis revealing dynamical nature of the protein. These findings aid in understanding the binding of natural products and molecular mechanisms of SARS-CoV-2 main protease inhibition.Communicated by Ramaswamy H. Sarma.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article