Potential protease inhibitors and their combinations to block SARS-CoV-2.

Abhinand, Chandran S; Nair, Achuthsankar S; Krishnamurthy, Anand; Oommen, Oommen V; Sudhakaran, Perumana R

Abhinand, Chandran S; Nair, Achuthsankar S; Krishnamurthy, Anand; Oommen, Oommen V; Sudhakaran, Perumana R.

Afiliação

Abhinand CS; Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.
Nair AS; Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.
Krishnamurthy A; Dassault Systemes India Pvt Ltd, Chennai, Tamil Nadu, India.
Oommen OV; Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.
Sudhakaran PR; Department of Computational Biology and Bioinformatics, University of Kerala, Thiruvananthapuram, Kerala, India.

J Biomol Struct Dyn ; 40(2): 903-917, 2022 02.

Article em En | MEDLINE | ID: mdl-32924827

Assuntos

COVID-19; Inibidores de Proteases; Humanos; Simulação de Acoplamento Molecular; Pandemias; SARS-CoV-2

Palavras-chave

COVID-19; TMPRSS2; main protease; molecular docking; spike protein

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inibidores de Proteases / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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