Computational Analysis of <i>Psidium guajava</i> Metabolites Targeting Critical Proteins of <i>Staphylococcus aureus</i> : Insights from Pharmacokinetics, Docking and Dynamics

Staphylococcus aureus remains a critical ESKAPE pathogen due to its multidrug resistance and reliance on virulence-associated enzymes. In this study, an integrative in silico pipeline combining molecular docking, redocking-based validation, molecular dynamics (MD) simulations and pharmacokinetic profiling was applied to prioritize Psidium guajava metabolites targeting two functionally distinct proteins: the essential peptidoglycan biosynthesis enzyme MurE and the antivirulence factor sortase A (SrtA). Twenty-one metabolites were docked against both targets, and reference redocking experiments were performed using the co-crystallized ligand for MurE and quercetin for SrtA to validate the docking protocol. Flavonoids quercetin and myricetin exhibited the strongest binding affinities toward MurE ([Formula: see text]9.8 to −9.9 kcal ⋅ mol[Formula: see text] and displayed stable MD behavior over 100 ns, characterized by low backbone RMSD values (0.25–0.40[Formula: see text]nm), limited RMSF fluctuations confined to terminal regions, a stable radius of gyration and consistent potential energy profiles, indicating persistent interactions within the MurE catalytic site. In contrast, SrtA complexes with rutin and oleanolic acid showed pronounced conformational rearrangements during MD simulations, with large backbone RMSD excursions ([Formula: see text]2–9[Formula: see text]nm) and fluctuating compactness, with partial stabilization emerging toward the end of the 100 ns trajectory (after [Formula: see text]60–80[Formula: see text]ns), consistent with dynamic or transient binding rather than stable inhibition. Pharmacokinetic analyses highlighted quercetin and myricetin as the most drug-like candidates among the evaluated metabolites. Overall, the results support a complementary, target-selective strategy, identifying MurE as a robust enzymatic target for P. guajava flavonoids, while SrtA interactions are better interpreted as potential antivirulence modulation rather than strong dual-target inhibition. This refined framework provides a realistic and mechanistically grounded basis for prioritizing plant-derived scaffolds against S. aureus.

Authors

Institutions

Publication Details

Journal
Journal of Computational Biophysics and Chemistry
Published
2026-02-13
DOI
https://doi.org/10.1142/s2737416526500638
Primary Topic
Biochemical and Structural Characterization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Analysis of Psidium guajava Metabolites Targeting Critical Proteins of Staphylococcus aureus : Insights from Pharmacokinetics, Docking and Dynamics

Analila Luna-Valenzuela, Rogelio Prieto-Alvarado, José Roberto Aguirre-Sánchez, Carlos Emiliano Buelna-García et al.
Journal of Computational Biophysics and Chemistry
Biochemical and Structural Characterization
article

Computational Analysis of Psidium guajava Metabolites Targeting Critical Proteins of Staphylococcus aureus : Insights from Pharmacokinetics, Docking and Dynamics

Analila Luna-Valenzuela, Rogelio Prieto-Alvarado, José Roberto Aguirre-Sánchez, Carlos Emiliano Buelna-García, Omar Guerra-Meza, Yazmin Brisceida Jimenez-Nevarez, Lennin I. Garrido Palazuelos, Sofia Santillan-Ahumada, Juan Francisco Robles-Camacho
article en

Abstract

Staphylococcus aureus remains a critical ESKAPE pathogen due to its multidrug resistance and reliance on virulence-associated enzymes. In this study, an integrative in silico pipeline combining molecular docking, redocking-based validation, molecular dynamics (MD) simulations and pharmacokinetic profiling was applied to prioritize Psidium guajava metabolites targeting two functionally distinct proteins: the essential peptidoglycan biosynthesis enzyme MurE and the antivirulence factor sortase A (SrtA). Twenty-one metabolites were docked against both targets, and reference redocking experiments were performed using the co-crystallized ligand for MurE and quercetin for SrtA to validate the docking protocol. Flavonoids quercetin and myricetin exhibited the strongest binding affinities toward MurE ([Formula: see text]9.8 to −9.9 kcal ⋅ mol[Formula: see text] and displayed stable MD behavior over 100 ns, characterized by low backbone RMSD values (0.25–0.40[Formula: see text]nm), limited RMSF fluctuations confined to terminal regions, a stable radius of gyration and consistent potential energy profiles, indicating persistent interactions within the MurE catalytic site. In contrast, SrtA complexes with rutin and oleanolic acid showed pronounced conformational rearrangements during MD simulations, with large backbone RMSD excursions ([Formula: see text]2–9[Formula: see text]nm) and fluctuating compactness, with partial stabilization emerging toward the end of the 100 ns trajectory (after [Formula: see text]60–80[Formula: see text]ns), consistent with dynamic or transient binding rather than stable inhibition. Pharmacokinetic analyses highlighted quercetin and myricetin as the most drug-like candidates among the evaluated metabolites. Overall, the results support a complementary, target-selective strategy, identifying MurE as a robust enzymatic target for P. guajava flavonoids, while SrtA interactions are better interpreted as potential antivirulence modulation rather than strong dual-target inhibition. This refined framework provides a realistic and mechanistically grounded basis for prioritizing plant-derived scaffolds against S. aureus.

Journal of Computational Biophysics and Chemistry
Universidad Autónoma de Sinaloa (MX), Universidad Autónoma de Occidente (MX), Centro de Investigación en Alimentación y Desarrollo (MX), Instituto Tecnológico de Veracruz (MX)
Affordable and clean energy
Openalex Percentile: Top 58%
Biochemical and Structural Characterization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.