Extracting targeted sub networks from FORUM for toxicological insight
Résumé
To understand the connection between chemical compounds, metabolic changes, and health issues, it is necessary to connect metabolism knowledge with a broad set of modes of action leading to adverse effects on human health. FORUM, a knowledge graph (KG) with millions of associations for chemical compounds and biomedical concepts, addresses this challenge.
Our project focuses on developing a pipeline for creating knowledge graphs in biological studies, simplifying the analysis of toxicological pathways amidst big data. Through applying this pipeline to projects like Endoxomics [1], we aim to uncover key events linking persistent organic pollutants (POPs) to endometriosis pathophysiology, advancing our understanding of this complex condition.
Domaines
Bio-informatique [q-bio.QM]Origine | Fichiers produits par l'(les) auteur(s) |
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