# A Mechanistic, Architecture-Dependent Study Combining Experiments and Molecular Dynamics to Explain AMP Release from GO–PEI Coatings

**Authors:** Adriana de América, María José Fritte, Paola Alarcón, Karel Mena-Ulecia, Gonzalo Recio-Sánchez, Klaus Rischka, Marcos Rocha Diniz Silva, Matheus Santos Dias, Camila Marchetti Maroneze, Cecilia de Carvalho Castro Silva, Jacobo Hernandez-Montelongo

PMC · DOI: 10.3390/bioengineering13030341 · Bioengineering · 2026-03-15

## TL;DR

This study explores how different graphene oxide-based coating structures affect the release of antimicrobial peptides, using experiments and simulations to guide future coating design.

## Contribution

The work provides a mechanistic framework linking coating architecture to peptide release, supported by molecular dynamics simulations.

## Key findings

- Layered PEI+GO–fLFB coatings showed the highest antibacterial activity.
- Molecular dynamics simulations revealed weaker fLFB binding to GO compared to PEI.
- Coating architecture significantly influences peptide retention and release behavior.

## Abstract

This study investigates two graphene oxide (GO)-based coating architectures on urinary catheter substrates—layered (PEI+GO) and embedded (PEI/GO)—loaded with antimicrobial peptides (E14LKK and fLFB), with the aim of elucidating how coating structure governs peptide retention and release. Physicochemical and morphological characterization confirmed distinct coating architectures and thicknesses. Molecular dynamics simulations were employed to probe GO–peptide and PEI–peptide interactions, revealing weaker binding of fLFB to GO relative to PEI, consistent with enhanced peptide mobility. Antibacterial performance against Escherichia coli and Enterococcus faecalis was evaluated using agar diffusion assays as a comparative indicator of peptide release from surface-bound coatings. The layered PEI+GO–fLFB system exhibited the highest antibacterial activity, in agreement with simulation-predicted interaction energetics and structural fluctuations. Rather than targeting immediate clinical translation, this work provides mechanistic insight into how GO–polymer architecture modulates antimicrobial peptide availability, offering a molecular dynamics simulation-guided framework for the rational design of peptide-releasing antimicrobial coatings.

## Linked entities

- **Chemicals:** PEI (PubChem CID 9033)
- **Species:** Escherichia coli (taxon 562), Enterococcus faecalis (taxon 1351)

## Full-text entities

- **Chemicals:** AMP (MESH:D000249), E14LKK (-), agar (MESH:D000362), GO (MESH:C000628730)
- **Species:** Enterococcus faecalis (species) [taxon 1351], Escherichia coli (E. coli, species) [taxon 562]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13023436/full.md

## References

52 references — full list in the complete paper: https://tomesphere.com/paper/PMC13023436/full.md

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Source: https://tomesphere.com/paper/PMC13023436