Jul 2026· International Journal of Molecular Sciences· Vol 27, pp. 6624· 0 citations· 51 references
Medicine
TL;DR
This study provides an exploratory computational framework for evaluating ligand-recognition behavior in structurally dynamic viral systems and highlights the importance of dynamics-informed structural ensembles for docking analyses in flexible viral proteins.
Abstract
The SARS-CoV-2 JN.1 subvariant has attracted attention due to the accumulation of mutations in the Spike (S) glycoprotein, particularly within the receptor-binding domain (RBD), contributing to the structural heterogeneity of the Spike protein. However, the extent to which conformational dynamics influence ligand-recognition patterns across functional Spike states remains insufficiently characterized. In this study, we applied a hierarchical computational framework combining homology modeling, molecular dynamics simulations, and molecular docking to determine whether conformational sampling modifies the location, accessibility, and recurrence of ligand-interaction regions in the JN.1 Spike protein. Closed, semi-closed, and open conformations were modeled and subjected to triplicate simulations, including an initial 100 ns phase followed by extended 200 ns simulations. Representative conformations were obtained by trajectory clustering and used for docking analyses. Two flavonoids, hesperitin-7-O-rutinoside (H7R) and flavanone-7-O-glucoside (F7G), were employed as structural probes to assess how ligand interaction patterns vary across conformational states. Comparative analyses revealed that conformational sampling modifies the location, accessibility and spatial distribution of ligand-interaction regions while generating distinct docking poses and recurrent interaction patterns not fully captured by static structural models. These findings highlight the importance of dynamics-informed structural ensembles for docking analyses in flexible viral proteins. Rather than predicting absolute binding affinities, this study provides an exploratory computational framework for evaluating ligand-recognition behavior in structurally dynamic viral systems.
Characterization of drug-binding pathways remains experimentally limited by transient intermediates and computationally challenging due to long timescales intractable for conventional molecular dynamics. To address these challenges, we combined solution NMR titrations with weighted ensemble (WE) enhanced sampling simul...
D. Perez, Grace Arhin, Yao Fu et al.· bioRxiv· 0 citations
The SARS-CoV-2 main protease (MPro) is an essential enzyme for viral replication and a primary target for antiviral drug development. Despite extensive structural and biochemical characterization, the allosteric mechanisms by which dimerization informs conformational changes at active site lack an explicit comparison a...
Javier O. Sanlley Hernandez, Carla Calvó-Tusell, Fiona L. Kearns et al.· Biophysical Journal· 0 citations
The SARS‐CoV‐2 main protease (3CLpro) is an essential enzyme for viral replication and a major target for antiviral drug development. While its catalytic activity is known to require dimer formation, the mechanism by which it cleaves itself from the monomeric viral polyprotein remains to be further studied. In this stu...
Lai-Yi Feng, Xin-Liao Ling, Wei-Jie Bian et al.· Protein Science· 0 citations
SARS-CoV-2 papain-like protease (PLpro) remains an attractive antiviral target because of its dual role in viral polyprotein processing and host immune modulation. In this study, we employed an exploratory structure-based computational workflow to identify antimicrobial peptide scaffolds with predicted PLpro-binding po...
Erenilson dos Santos Moreira, S. Siqueira, F. Barbosa et al.· Scientific Reports· 0 citations
The sigma-1 receptor (S1R) is a chaperone protein involved in several physiological and pathological processes and represents an attractive target for the development of neuroactive and anticancer agents. Among S1R ligands, 3,3-disubstituted 3,4-dihydro-1,2,4-benzotriazines constitute a pharmacologically relevant but m...
M. Tonelli, Valeria Francesconi, Bruno Tasso et al.· Bioorganic chemistry (Print)· 0 citations