8R14 image
Entry Detail
PDB ID:
8R14
Keywords:
Title:
Structure of compound 11 bound to SARS-CoV-2 main protease
Biological Source:
PDB Version:
Deposition Date:
2023-11-01
Release Date:
2024-02-07
Method Details:
Experimental Method:
Resolution:
1.34 Å
R-Value Free:
0.23
R-Value Work:
0.19
R-Value Observed:
0.19
Space Group:
P 21 21 21
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:3C-like proteinase
Chain IDs:A, B
Chain Length:306
Number of Molecules:2
Biological Source:Severe acute respiratory syndrome coronavirus 2
Primary Citation
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)
PMID: 38911172 DOI: 10.1039/d4md00106k

Abstact

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 de novo 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 IC50 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.

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