Mechanistic insights into the noncovalent inhibition of SARS-CoV-2 PLpro: a multiscale computational study
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.
Authors
- Jéssica de Oliveira Araújo (ORCID: https://orcid.org/0000-0003-4968-8005)
- Renan Patrick da Penha Valente (ORCID: https://orcid.org/0000-0002-6089-9260)
- Hendrik Gerhardus Kruger (ORCID: https://orcid.org/0000-0003-0606-2053)
- Flávio Vinícius da Silva Ribeiro (ORCID: https://orcid.org/0000-0002-7772-8257)
- José Rogério A. Silva
Institutions
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Instituto Federal de Educação, Ciência e Tecnologia do Pará (BR)
- Universidade Federal do Pará (BR)
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- Journal of Computer-Aided Molecular Design
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1007/s10822-026-00763-z
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 45.17
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico