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SARS-CoV-2 3CLPro Dihedral Angles Reveal Allosteric Signaling

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Journal bioRxiv
Date 2024 Jun 3
PMID 38826232
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Abstract

In allosteric proteins, identifying the pathways that signals take from allosteric ligand-binding sites to enzyme active sites or binding pockets and interfaces remains challenging. This avenue of research is motivated by the goals of understanding particular macromolecular systems of interest and creating general methods for their study. An especially important protein that is the subject of many investigations in allostery is the SARS-CoV-2 main protease (Mpro), which is necessary for coronaviral replication. It is both an attractive drug target and, due to intense interest in it for the development of pharmaceutical compounds, a gauge of the state-of-the-art approaches in studying protein inhibition. Here we develop a computational method for characterizing protein allostery and use it to study Mpro. We propose a role of the protein's C-terminal tail in allosteric modulation and warn of unintuitive traps that can plague studies of the role of protein dihedrals angles in transmitting allosteric signals.

References
1.
Bhattacharya S, Vaidehi N . Differences in allosteric communication pipelines in the inactive and active states of a GPCR. Biophys J. 2014; 107(2):422-434. PMC: 4104064. DOI: 10.1016/j.bpj.2014.06.015. View

2.
Sztain T, Amaro R, McCammon J . Elucidation of Cryptic and Allosteric Pockets within the SARS-CoV-2 Main Protease. J Chem Inf Model. 2021; 61(7):3495-3501. PMC: 8117783. DOI: 10.1021/acs.jcim.1c00140. View

3.
Dasgupta D, Chan W, Carlson H . Computational Identification of Possible Allosteric Sites and Modulators of the SARS-CoV-2 Main Protease. J Chem Inf Model. 2022; 62(3):618-626. PMC: 10262278. DOI: 10.1021/acs.jcim.1c01223. View

4.
Wodak S, Paci E, Dokholyan N, Berezovsky I, Horovitz A, Li J . Allostery in Its Many Disguises: From Theory to Applications. Structure. 2019; 27(4):566-578. PMC: 6688844. DOI: 10.1016/j.str.2019.01.003. View

5.
Laurent B, Chavent M, Cragnolini T, Dahl A, Pasquali S, Derreumaux P . Epock: rapid analysis of protein pocket dynamics. Bioinformatics. 2014; 31(9):1478-80. PMC: 4410650. DOI: 10.1093/bioinformatics/btu822. View