Journal
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Volume 19, Issue -, Pages 4684-4701Publisher
ELSEVIER
DOI: 10.1016/j.csbj.2021.08.029
Keywords
SARS-CoV-2; Natural products; FDA-approved drugs; Candidate drugs; Co-crystal structures
Funding
- Qufu Normal University, China [614901, 615201]
- Qufu Normal University
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This study focuses on utilizing X-ray crystal structures and computational analysis to discover and optimize anti-SARS-CoV-2 drugs, with a focus on the interaction of newly identified small-molecule inhibitors with drug targets.
Safer and more-effective drugs are urgently needed to counter infections with the highly pathogenic SARS-CoV-2, cause of the COVID-19 pandemic. Identification of efficient inhibitors to treat and prevent SARS-CoV-2 infection is a predominant focus. Encouragingly, using X-ray crystal structures of therapeutically relevant drug targets (PLPro, M-Pro, RdRp, and S glycoprotein) offers a valuable direction for antiSARS-CoV-2 drug discovery and lead optimization through direct visualization of interactions. Computational analyses based primarily on MMPBSA calculations have also been proposed for assessing the binding stability of biomolecular structures involving the ligand and receptor. In this study, we focused on state-of-the-art X-ray co-crystal structures of the abovementioned targets complexed with newly identified small-molecule inhibitors (natural products, FDA-approved drugs, candidate drugs, and their analogues) with the assistance of computational analyses to support the precision design and screening of anti-SARS-CoV-2 drugs. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
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