ArticleFrontiers in bioinformatics2025
Identification of novel drug targets and small molecule discovery for MRSA infections.
Article in Frontiers in bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Experimental Characterization Combined with Computational Network Analysis of Metabolites Associated with Chrysanthemum morifolium-derived exosome-like Nanoparticles in Predicting Potential AKI-relevant Targets.Cell biochemistry and biophysics · 2026Article
- In silico comparative proteomics and structural analysis of Theileria species reveals conserved druggable targets for anti-theilerial therapy.BMC microbiology · 2026Article
- Discovery of Small Molecule Inhibitors against Polo-Like Kinase 1 Targeting Breast Cancer.Anti-cancer agents in medicinal chemistry · 2026Article
- Targeting biofilm-related genes in a clinical methicillin-resistantFrontiers in microbiology · 2026Article
- Integrated experimental and computational insights into the anti-inflammatory potential of flower-derived exosome-like nanoparticles targeting the NF-κB pathway.Frontiers in bioinformatics · 2026Article
- An integrated subtractive genomics and immunoinformatic approach for designing a multi-epitope peptide vaccine against methicillin-resistantFrontiers in bioinformatics · 2025Article
- Subtractive genomic approach to uncover novel drug targets inFrontiers in bioinformatics · 2025Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The topmost deadliest microorganism, namely, methicillin-resistant Methods: The screening of novel therapeutic MRSA targets was conducted based on the predictions retrieved from non-homologous, physicochemical analysis, subcellular localization, druggability, and virulence factor examinations. Following that, flavonoid compounds were docked against specific MRSA targets using AutoDock Vina. Further, molecular dynamic simulations and binding free energy calculations were performed using simulation software. Results: After examining 2,640 virulence factors that presented in MRSA, the heme response regulator R (HssR) was found to be a novel protein that greatly controls the levels of heme in MRSA infections. Subsequently, the binding energy calculations for flavonoid compounds and HssR revealed that the catechin provided -7.9 kcal/mol, which surpassed the standard drug, namely, vancomycin (-5.9 kcal/mol). Further, the results were validated by evaluating molecular dynamic simulation parameters like RMSD, RMSF, ROG, SASA, and PCA. Through analyzing these parameters, catechin provided a more stable, compact nature and less solvent exposure with HssR than vancomycin. Moreover, the predicted binding free energy for HssR-catechin was found to be -23.0 kcal/mol, which was less compared to the HssR-vancomycin (-16.91 kcal/mol) complex. The results suggested that the catechin was able to modulate the activity of the HssR protein effectively. Conclusion: These potential findings revealed that heme response regulator R as a promising therapeutic target while the flavonoid compound catechin could act as alternative therapeutic inhibitor that target MRSA infections.
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