L'apport de la théorie des graphes à l'ethnopharmacologie : une modélisation systémique des usages des plantes et de leurs effets thérapeutiques

The contribution of graph theory to ethnopharmacology. Systemic modeling of plant uses and therapeutic effects Ethnopharmacology is the study of remedies and ingredients used in different traditional medicines in aim to identify new therapeutic solutions. These studies generally consist of identifying and isolating a new main active compound from one medicinal plant. However, several studies show a loss of biological activity between traditional use and isolated compounds, suggesting a more complex therapeutic mechanism. The systemic approach of network pharmacology, based on graph theory, makes possible the study of this theory with the in silico modeling of multiple possible interactions between plant compounds and human proteins. The in silico study of these complex networks can help to spot target and compounds essential to the observed therapeutic activity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-21
DOI
https://doi.org/10.5281/zenodo.14198380
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
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article

L'apport de la théorie des graphes à l'ethnopharmacologie : une modélisation systémique des usages des plantes et de leurs effets thérapeutiques

Zenodo (CERN European Organization for Nuclear Research)
Graph theory and applications
article

L'apport de la théorie des graphes à l'ethnopharmacologie : une modélisation systémique des usages des plantes et de leurs effets thérapeutiques

article en

Abstract

The contribution of graph theory to ethnopharmacology. Systemic modeling of plant uses and therapeutic effects Ethnopharmacology is the study of remedies and ingredients used in different traditional medicines in aim to identify new therapeutic solutions. These studies generally consist of identifying and isolating a new main active compound from one medicinal plant. However, several studies show a loss of biological activity between traditional use and isolated compounds, suggesting a more complex therapeutic mechanism. The systemic approach of network pharmacology, based on graph theory, makes possible the study of this theory with the in silico modeling of multiple possible interactions between plant compounds and human proteins. The in silico study of these complex networks can help to spot target and compounds essential to the observed therapeutic activity.

Zenodo (CERN European Organization for Nuclear Research)
Institut National des Sciences Appliquées de Strasbourg (FR), Institut de Cancérologie Strasbourg (FR), Institut de Chimie de Strasbourg (FR), Université de Strasbourg (FR)
Openalex Percentile: Top 49%
Graph theory and applications
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