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In silico prediction of natural compounds as potential multi-target inhibitors of structural proteins of SARS-CoV-2.
Rani, Jyoti; Bhargav, Anasuya; Khan, Faez Iqbal; Ramachandran, Srinivasan; Lai, Dakun; Bajpai, Urmi.
Afiliação
  • Rani J; Department of Biomedical Science, Acharya Narendra Dev College, University of Delhi, New Delhi, India.
  • Bhargav A; G N Ramachandran Knowledge of Centre, Council of Scientific and Industrial Research - Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
  • Khan FI; G N Ramachandran Knowledge of Centre, Council of Scientific and Industrial Research - Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
  • Ramachandran S; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
  • Lai D; School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Bajpai U; G N Ramachandran Knowledge of Centre, Council of Scientific and Industrial Research - Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India.
J Biomol Struct Dyn ; 40(22): 12118-12134, 2022.
Article em En | MEDLINE | ID: mdl-34486935
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article