# Exploring the Potential of Phytocannabinoids Against Multidrug-Resistant Bacteria

**Authors:** Carmina Sirignano, Simona De Vita, Ernesto Gargiulo, Massimiliano Lucidi, Daniela Visaggio, Maria Giovanna Chini, Gianluigi Lauro, Giuseppina Chianese, Paolo Visca, Giuseppe Bifulco, Orazio Taglialatela-Scafati

PMC · DOI: 10.3390/plants14131901 · Plants · 2025-06-20

## TL;DR

This study explores how phytocannabinoids can fight drug-resistant bacteria and identifies potential molecular targets using a new computational method.

## Contribution

The first use of inverse virtual screening to identify bacterial protein targets of phytocannabinoids.

## Key findings

- Phytocannabinoids showed strong antibacterial activity against multidrug-resistant Gram-positive bacteria.
- Stereochemistry of cannabidiol enantiomers influences their antibacterial effects.
- Inverse virtual screening identified key bacterial metabolic and defense pathway targets.

## Abstract

The rapid emergence of multidrug-resistant (MDR) bacterial pathogens poses a critical threat to global health, creating an urgent need for novel antimicrobial agents. In this study, we evaluated a small library of natural and semisynthetic phytocannabinoids against a broad panel of MDR Gram-positive bacterial strains, evidencing very good activity in the low µM range. We provide evidence of the antibacterial activity of the two separated enantiomers of cannabidiol, offering novel insights into the stereochemical aspects of their bioactivity. To investigate the possible molecular targets and clarify the mechanism of action, we employed Inverse Virtual Screening (IVS), a computational approach optimized for predicting potential protein–ligand interactions, on three selected MDR bacterial species. Interestingly, key targets belonging to important bacterial metabolic pathways and defense mechanisms were retrieved, and the results were used to rationalize the observed biological activities. To the best of our knowledge, this study marks the first application of IVS to microorganisms, offering a novel strategy for identifying bacterial protein targets. The results pave the way for future experimental validation, structure-based drug design, and the development of novel antibacterial agents.

## Linked entities

- **Chemicals:** cannabidiol (PubChem CID 644019)

## Full-text entities

- **Chemicals:** cannabidiol (MESH:D002185), Phytocannabinoids (-)
- **Species:** Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12251955/full.md

## References

67 references — full list in the complete paper: https://tomesphere.com/paper/PMC12251955/full.md

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Source: https://tomesphere.com/paper/PMC12251955