Uvarinol and Dichamanetin Derived from Uvaria chamae as Potential Dual-Site Inhibitors Against PBP2a in Methicillin Resistant Staphylococcus aureus: An In Silico Study

<b>Background/Objectives</b>: Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) is one of the resistant pathogenic microorganisms that poses a global health threat due to its resistance to β-lactam antibiotics where the protein penicillin-binding protein 2a (PBP2a) plays a crucial role in its resistance. This study explores the potential of phytochemicals from <i>Uvaria chamae</i>, a plant with known medicinal properties, to serve as dual-site inhibitors of PBP2a, targeting both the active and allosteric sites. <b>Methods</b>: Phytochemicals previously identified in <i>U. chamae</i> were subjected to molecular docking and molecular dynamics simulations to evaluate their binding affinities and stability at PBP2a's active and allosteric sites. The compounds' pharmacokinetic profiles were predicted in silico using SwissADME tools. Root-mean-square deviation (RMSD), radius of gyration, and binding free energy were analyzed for dynamic stability. <b>Results</b>: Among the evaluated compounds, Uvarinol and Dichamanetin demonstrated high binding affinities compared to the co-crystallized ligand and standard antibiotics like ceftaroline. Uvarinol exhibited the highest binding affinity at both sites, with a docking score of -14.94 kcal/mol and a predicted inhibition constant (Ki) of 0.01 nM. Molecular dynamics simulations further confirmed the robust stability of Uvarinol and Dichamanetin, as indicated by consistently lower RMSD values relative to the co-crystallized ligand. Pharmacokinetic predictions revealed favorable drug-likeness and low toxicity, although Uvarinol showed limited gastrointestinal absorption. <b>Conclusions</b>: Uvarinol and Dichamanetin show promise as dual-site PBP2a inhibitors, offering a novel strategy to combat MRSA resistance. Their structural and pharmacokinetic properties make them viable candidates for further development, though experimental validation and formulation optimization are necessary to overcome bioavailability challenges.

Authors

Institutions

Publication Details

Journal
Pharmaceuticals
Published
2025-04-04
DOI
https://doi.org/10.3390/ph18040529
Citations
5
Primary Topic
Biochemical and Structural Characterization
Type
article
Field-Weighted Citation Impact
4.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uvarinol and Dichamanetin Derived from Uvaria chamae as Potential Dual-Site Inhibitors Against PBP2a in Methicillin Resistant Staphylococcus aureus: An In Silico Study

Basiru Olaitan Ajiboye, Babatunji Emmanuel Oyinloye, Oluwatoyin Mary Oyinloye, Iyadunni Adesola Anuoluwa et al.
5 citations
Pharmaceuticals
Biochemical and Structural Characterization
4.03
article

Uvarinol and Dichamanetin Derived from Uvaria chamae as Potential Dual-Site Inhibitors Against PBP2a in Methicillin Resistant Staphylococcus aureus: An In Silico Study

Basiru Olaitan Ajiboye, Babatunji Emmanuel Oyinloye, Oluwatoyin Mary Oyinloye, Iyadunni Adesola Anuoluwa, Adetola Ibukunoluwa Adewale, Ezekiel A. Olugbogi, Shalom Oluwafunke Adeyemi, Emmanuel Ayodeji Agbebi, Omolara Seun Ajofoyinbo, Timothy Oluwaseyi Agbebi
article en
5 citations

Abstract

<b>Background/Objectives</b>: Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) is one of the resistant pathogenic microorganisms that poses a global health threat due to its resistance to β-lactam antibiotics where the protein penicillin-binding protein 2a (PBP2a) plays a crucial role in its resistance. This study explores the potential of phytochemicals from <i>Uvaria chamae</i>, a plant with known medicinal properties, to serve as dual-site inhibitors of PBP2a, targeting both the active and allosteric sites. <b>Methods</b>: Phytochemicals previously identified in <i>U. chamae</i> were subjected to molecular docking and molecular dynamics simulations to evaluate their binding affinities and stability at PBP2a's active and allosteric sites. The compounds' pharmacokinetic profiles were predicted in silico using SwissADME tools. Root-mean-square deviation (RMSD), radius of gyration, and binding free energy were analyzed for dynamic stability. <b>Results</b>: Among the evaluated compounds, Uvarinol and Dichamanetin demonstrated high binding affinities compared to the co-crystallized ligand and standard antibiotics like ceftaroline. Uvarinol exhibited the highest binding affinity at both sites, with a docking score of -14.94 kcal/mol and a predicted inhibition constant (Ki) of 0.01 nM. Molecular dynamics simulations further confirmed the robust stability of Uvarinol and Dichamanetin, as indicated by consistently lower RMSD values relative to the co-crystallized ligand. Pharmacokinetic predictions revealed favorable drug-likeness and low toxicity, although Uvarinol showed limited gastrointestinal absorption. <b>Conclusions</b>: Uvarinol and Dichamanetin show promise as dual-site PBP2a inhibitors, offering a novel strategy to combat MRSA resistance. Their structural and pharmacokinetic properties make them viable candidates for further development, though experimental validation and formulation optimization are necessary to overcome bioavailability challenges.

PharmaceuticalsVol. 18(4)
University of Zululand (ZA), Ekiti State University (NG), University of Ibadan (NG), Afe Babalola University (NG), Babcock University (NG), Federal University Oye Ekiti (NG), University of Medical Sciences, Ondo, Olusegun Agagu University of Science and Technology (NG)
University of Zululand
Affordable and clean energy
Openalex Percentile: Top 7%
Biochemical and Structural Characterization
4.03
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.