In Silico Design and Molecular Docking of Esp C-terminal Domain Inhibitors in Enterococcus faecalis

Enterococcus faecalis, a gram-positive bacterium linked to hospital-acquired infections, exhibits strong biofilm formation mediated by the Enterococcus Surface Protein (Esp), contributing to its persistence and antibiotic resistance. This study computationally evaluated small-molecule inhibitors targeting the Esp C-terminal adhesion domain. The Esp structure was prepared using AutoDock Tools, and ligands were optimized via Open Babel and docked with AutoDock 4.2. Top hits were filtered with AutoDock Vina, and binding interactions were visualized using MGLTools. SwissADME analysis assessed physicochemical and pharmacokinetic profiles. Baicalein, curcumin, and pyridazinone displayed high binding affinity (up to −9.63 kcal/mol), with baicalein analogues achieving −10.1 kcal/mol. The lead compound demonstrated drug-like properties, indicating strong potential as a therapeutic candidate.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23796455
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

In Silico Design and Molecular Docking of Esp C-terminal Domain Inhibitors in Enterococcus faecalis

Usha Chouhan
4 links
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

In Silico Design and Molecular Docking of Esp C-terminal Domain Inhibitors in Enterococcus faecalis

Usha Chouhan
article en

Abstract

Enterococcus faecalis, a gram-positive bacterium linked to hospital-acquired infections, exhibits strong biofilm formation mediated by the Enterococcus Surface Protein (Esp), contributing to its persistence and antibiotic resistance. This study computationally evaluated small-molecule inhibitors targeting the Esp C-terminal adhesion domain. The Esp structure was prepared using AutoDock Tools, and ligands were optimized via Open Babel and docked with AutoDock 4.2. Top hits were filtered with AutoDock Vina, and binding interactions were visualized using MGLTools. SwissADME analysis assessed physicochemical and pharmacokinetic profiles. Baicalein, curcumin, and pyridazinone displayed high binding affinity (up to −9.63 kcal/mol), with baicalein analogues achieving −10.1 kcal/mol. The lead compound demonstrated drug-like properties, indicating strong potential as a therapeutic candidate.

Zenodo (CERN European Organization for Nuclear Research)
Maulana Azad National Institute of Technology (IN)
Good health and well-being
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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