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Inhibitor induced conformational changes in SARS-COV-2 papain-like protease

التغيرات التوافقية المستحثة بالمثبطات في الأنزيم البروتيني الشبيه بالبابين لفيروس كورونا 2 المرتبط بمتلازمة الجهاز التنفسي الحادة الوخيمة
Authors: Ferreira, Glaucio Monteiro; Pillaiyar, Thanigaimalai; Hirata, Mario Hiroyuki; Poso, Antti; Kronenberger, Thales;

Inhibitor induced conformational changes in SARS-COV-2 papain-like protease

Abstract

AbstractSARS-CoV-2’s papain-like protease (PLpro) interaction with ligands has recently been explored with a myriad of crystal structures. We used molecular dynamics (MD) simulations to study different PLpro-ligand complexes, their ligand-induced conformational changes, and interactions. We focused on inhibitors reported with known IC50 against PLpro, namely GRL-0617, XR8-89, PLP_Snyder530, and Sander’s recently published compound 7 (CPD7), and compared these trajectories against the apostructure (Apo), with a total of around 60 µs worth simulation data. We aimed to study the conformational changes using molecular dynamics simulations for the inhibitors in the PLpro. PCA analyses and the MSM models revealed distinct conformations of PLpro in the absence/presence of ligands and proposed that BL2-loop contributes to the accessibility of these inhibitors. Further, bulkier substituents closer to Tyr268 and Gln269 could improve inhibition of SARS-CoV-2 PLpro by occupying the region between BL2-groove and BL2-loop, but we also expand on the relevance of exploring multiple PLpro sub-pockets to improve inhibition.

Keywords

Coronavirus Papain-Like Proteases, Infectious disease (medical specialty), FOS: Health sciences, Ligands, Biochemistry, Computational biology, Papain, Pathology, Viral load, Disease, Aniline Compounds, Sars virus, COVID-19, papain-like protease, PLpro, Molecular dynamics simulation., Q, R, Life Sciences, Proteases, Virus, Antiretroviral therapy, Molecular Docking Simulation, Chemistry, Infectious Diseases, Computational Theory and Mathematics, Benzamides, Physical Sciences, Medicine, Computational Methods in Drug Discovery, Science, Lipid Rafts and Membrane Dynamics, Molecular Dynamics Simulation, Naphthalenes, Coronavirus Disease 2019 Research, Antiviral Agents, Article, Biochemistry, Genetics and Molecular Biology, Virology, Health Sciences, Humans, Protease Inhibitors, Molecular Biology, Protein-Lipid Interactions, Biology, Protease inhibitor (pharmacology), SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Outbreak, COVID-19 Drug Treatment, Protease, Coronavirus disease 2019 (COVID-19), Enzyme, Computer Science, 2019-20 coronavirus outbreak

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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