Maxime Delmas

Deciphering the links between metabolism and health by building tailored knowledge graphs: application to endometriosis and persistent pollutants

The paper introduces Kg4j, a framework for building tailored knowledge graphs to explore disease-exposure relationships, applied to endometriosis and persistent pollutants.

Genome scale metabolic network modelling for metabolic profile predictions

The paper introduces SAMBA, a computational method that predicts metabolite changes under metabolic perturbations using genome-scale metabolic network modeling and compares predictions with experimental data.

Suggesting disease associations for overlooked metabolites using literature from metabolic neighbours

The paper identifies disease associations for 1,047 overlooked metabolites by extending the guilt by association principle using a Bayesian framework, resulting in 35,000 new associations.

FORUM: Building a Knowledge Graph from public databases and scientific literature to extract associations between chemicals and diseases

The paper introduces FORUM, a Knowledge Graph that extracts and connects chemical-disease associations from databases and literature to support biological interpretation.

Circular ANRIL isoforms switch from repressors to activators of p15/CDKN2B expression during RAF1 oncogene-induced senescence

The paper shows that circular ANRIL isoforms switch from repressing to activating p15/CDKN2B expression during RAF1-induced senescence by altering Polycomb protein interactions.