In Silico Investigation of Antimicrobial Agents Targeting Enterococcus Faecalis: Using Molecular Docking, Molecular Dynamics Simulations, and MM‐GBSA Analysis

Abstract Enterococcus faecalis (E. faecalis) induced pulpal infection is a major etiological factor in the early loss of deciduous teeth. However, combined antibiotic pastes have been employed to eliminate E. faecalis , which presents notable limitations, such as the development of bacterial resistance and tooth discoloration. There exists a continuous need to design reliable and effective antimicrobial agents derived from natural sources. A library of previously synthesized, novel flavonoid and chalcone derived compounds was computationally evaluated for their inhibitory potential against E. faecalis enzymes, including dihydrofolate reductase (DHFR), β‐Ketoacyl‐acyl carrier protein synthase III (KAS III), agmatine deiminase, alanine racemase, and enterococcal surface protein (Esp), using molecular docking, molecular dynamics simulations, and binding free energy calculations. Molecular docking studies against the target enzymes identified three hit compounds with the lowest docking scores. Subsequent molecular dynamics simulations and binding free energy calculations confirmed the structural stability of these enzyme inhibitor complexes. These three hit compounds demonstrated strong binding affinities and stable interactions, underscoring their potential as lead structures for drug development targeting E. faecalis . The findings suggest that naturally derived compounds may serve as promising alternatives to conventional antimicrobial agents for treating pulpal infections.

Authors

Institutions

Publication Details

Journal
ChemistrySelect
Published
2025-09-26
DOI
https://doi.org/10.1002/slct.202502503
Primary Topic
Veterinary medicine and infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Silico Investigation of Antimicrobial Agents Targeting Enterococcus Faecalis: Using Molecular Docking, Molecular Dynamics Simulations, and MM‐GBSA Analysis

Gizem Tatar, Tamer Tüzüner, İpek Nur Berberoğlu
ChemistrySelect
Veterinary medicine and infectious diseases
article

In Silico Investigation of Antimicrobial Agents Targeting Enterococcus Faecalis: Using Molecular Docking, Molecular Dynamics Simulations, and MM‐GBSA Analysis

Gizem Tatar, Tamer Tüzüner, İpek Nur Berberoğlu
article en

Abstract

Abstract Enterococcus faecalis (E. faecalis) induced pulpal infection is a major etiological factor in the early loss of deciduous teeth. However, combined antibiotic pastes have been employed to eliminate E. faecalis , which presents notable limitations, such as the development of bacterial resistance and tooth discoloration. There exists a continuous need to design reliable and effective antimicrobial agents derived from natural sources. A library of previously synthesized, novel flavonoid and chalcone derived compounds was computationally evaluated for their inhibitory potential against E. faecalis enzymes, including dihydrofolate reductase (DHFR), β‐Ketoacyl‐acyl carrier protein synthase III (KAS III), agmatine deiminase, alanine racemase, and enterococcal surface protein (Esp), using molecular docking, molecular dynamics simulations, and binding free energy calculations. Molecular docking studies against the target enzymes identified three hit compounds with the lowest docking scores. Subsequent molecular dynamics simulations and binding free energy calculations confirmed the structural stability of these enzyme inhibitor complexes. These three hit compounds demonstrated strong binding affinities and stable interactions, underscoring their potential as lead structures for drug development targeting E. faecalis . The findings suggest that naturally derived compounds may serve as promising alternatives to conventional antimicrobial agents for treating pulpal infections.

ChemistrySelectVol. 10(37)
Karadeniz Technical University (TR), DB Engineering & Consulting (Germany) (DE)
Openalex Percentile: Top 72%
Veterinary medicine and infectious diseases
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.

In Silico Investigation of Antimicrobial Agents Targeting Enterococcus Faecalis: Using Molecular Docking, Molecular Dynamics Simulations, and MM‐GBSA Analysis — Gizem Tatar, Tamer Tüzüner, et al. · ChemistrySelect (2025) | TGRS Research Map | TGRS