Mechanistic insights into the noncovalent inhibition of SARS-CoV-2 PLpro: a multiscale computational study

Read full text
Authors: Flávio Vinícius da Silva Ribeiro, Renan Patrick da Penha Valente, Hendrik Gerhardus Kruger, Jéssica de Oliveira Araújo, José Rogério A. Silva
Cited by: 1
References: 136

Abstract

The papain-like protease of SARS-CoV-2 (PLpro2) is integral to viral polyprotein cleavage and the modulation of host immune responses, positioning it as a critical target for antiviral drug development. Here, we elucidate the molecular mechanisms governing the noncovalent inhibition of PLpro2 through a comprehensive computational approach, including molecular docking, extensive molecular dynamics (MD) simulations, binding free energy calculations (MM/GBSA and SIE), principal component and free energy landscape (PCA/FEL) analyses, and protein-ligand interaction fingerprinting (ProLIF). We assessed a structurally diverse set of noncovalent inhibitors for their capacity to induce conformational rearrangements and stabilize key structural motifs of PLpro2, with particular emphasis on the BL2 loop. Notably, XR3 and A19 exhibited superior experimental and predicted binding affinities, which can be attributed to favorable contacts with essential residues Tyr268 and Gln269, the attenuation of loop dynamics, and the stabilization of energetically favorable conformational states. By contrast, less potent inhibitors were associated with increased conformational heterogeneity, fragmented free energy landscapes, and diminished interactions with critical loop residues. Therefore, our integrative analysis delineates the structural and energetic determinants underpinning noncovalent PLpro2 inhibition, underscoring the central roles of loop immobilization and π-stacking interactions in the rational design of next-generation PLpro2 inhibitors.

Fields of Study & Subjects

Computational Drug Discovery Methods Pharmacological Receptor Mechanisms and Effects Protein Structure and Dynamics

Publication details

Journal / source
Journal of Computer-Aided Molecular Design
Publisher
Springer Science and Business Media LLC
Volume
40
Issue
1
Pages
56–56
Publication date
5 February 2026
Language
EN