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8R16

Structure of compound 12 bound to SARS-CoV-2 main protease

Summary for 8R16
Entry DOI10.2210/pdb8r16/pdb
Descriptor3C-like proteinase, 1-[6,7-bis(chloranyl)-3,4-dihydro-1H-isoquinolin-2-yl]-2-(5-methylpyridin-3-yl)ethanone, CHLORIDE ION, ... (7 entities in total)
Functional Keywordsfragment, inhibitor, protease, hydrolase
Biological sourceSevere acute respiratory syndrome coronavirus 2
Total number of polymer chains2
Total formula weight68894.43
Authors
Mac Sweeney, A.,Hazemann, J. (deposition date: 2023-11-01, release date: 2024-02-07, Last modification date: 2024-07-03)
Primary citationHazemann, J.,Kimmerlin, T.,Lange, R.,Sweeney, A.M.,Bourquin, G.,Ritz, D.,Czodrowski, P.
Identification of SARS-CoV-2 Mpro inhibitors through deep reinforcement learning for de novo drug design and computational chemistry approaches.
Rsc Med Chem, 15:2146-2159, 2024
Cited by
PubMed Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic of coronavirus disease (COVID-19) since its emergence in December 2019. As of January 2024, there has been over 774 million reported cases and 7 million deaths worldwide. While vaccination efforts have been successful in reducing the severity of the disease and decreasing the transmission rate, the development of effective therapeutics against SARS-CoV-2 remains a critical need. The main protease (Mpro) of SARS-CoV-2 is an essential enzyme required for viral replication and has been identified as a promising target for drug development. In this study, we report the identification of novel Mpro inhibitors, using a combination of deep reinforcement learning for drug design with 3D pharmacophore/shape-based alignment and privileged fragment match count scoring components followed by hit expansions and molecular docking approaches. Our experimentally validated results show that 3 novel series exhibit potent inhibitory activity against SARS-CoV-2 Mpro, with IC values ranging from 1.3 μM to 2.3 μM and a high degree of selectivity. These findings represent promising starting points for the development of new antiviral therapies against COVID-19.
PubMed: 38911172
DOI: 10.1039/d4md00106k
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.3 Å)
Structure validation

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