A potential allosteric inhibitor of SARS-CoV-2 main protease (M pro ) identified through metastable state analysis

• Published in: Frontiers in molecular biosciences Vol. 11; p. 1451280
• Main Authors: Fatima, Asma, Geethakumari, Anupriya M, Ahmed, Wesam S, Biswas, Kabir H
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 06.09.2024
• Subjects: allosteric regulator; COVID-19; MD simulation; metastable states; Mpro; ZINC15; COVID-19; MD simulation; allosteric regulator; metastable states; Mpro; ZINC15
• ISSN: 2296-889X; 2296-889X
• DOI: 10.3389/fmolb.2024.1451280

Anti-COVID19 drugs, such as nirmatrelvir, have been developed targeting the SARS-CoV-2 main protease, M , based on the critical requirement of its proteolytic processing of the viral polyproteins into functional proteins essential for viral replication. However, the emergence of SARS-CoV-2 variants with M mutations has raised the possibility of developing resistance against these drugs, likely due to therapeutic targeting of the M catalytic site. An alternative to these drugs is the development of drugs that target an allosteric site distant from the catalytic site in the protein that may reduce the chance of the emergence of resistant mutants. Here, we combine computational analysis with assay and report the discovery of a potential allosteric site and an allosteric inhibitor of SARS-CoV-2 M . Specifically, we identified an M metastable state with a deformed catalytic site harboring potential allosteric sites, raising the possibility that stabilization of this metastable state through ligand binding can lead to the inhibition of M activity. We then performed a computational screening of a library (∼4.2 million) of drug-like compounds from the ZINC database and identified several candidate molecules with high predicted binding affinity. MD simulations showed stable binding of the three top-ranking compounds to the putative allosteric sites in the protein. Finally, we tested the three compounds using a BRET-based M biosensor and found that one of the compounds (ZINC4497834) inhibited the M activity. We envisage that the identification of a potential allosteric inhibitor of M will aid in developing improved anti-COVID-19 therapy.