Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors.

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Bibliographic Details
Title: Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors.
Authors: Fiorucci D; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy., Milletti E; AOU Careggi, General Laboratory, Florence Careggi Hospital, Firenze, Italy.; Department of Biomedical, Experimental and Clinical Sciences 'Mario Serio', University of Florence, Firenze, Italy., Orofino F; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy., Brizzi A; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy., Mugnaini C; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy., Corelli F; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy.
Source: Journal of biomolecular structure & dynamics [J Biomol Struct Dyn] 2021 Oct; Vol. 39 (16), pp. 6242-6248. Date of Electronic Publication: 2020 Jul 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 8404176 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-0254 (Electronic) Linking ISSN: 07391102 NLM ISO Abbreviation: J Biomol Struct Dyn Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1538-0254
DOI:10.1080/07391102.2020.1796805