Prioritization of novel anti-infective stilbene derivatives by combining metabolomic data organization and a stringent 3R-infection model in a knowledge graph
Published inRSC advances, vol. 15, no. 17, p. 13010-13030
First online date2025
Abstract
Research groups
Funding
- Swiss National Science Foundation - NMR 600MHz for metabolomics and biomarker identification for life sciences, chemical biology and medical projects at the University of Geneva [164095]
- Swiss National Science Foundation - An in silico and chemo-biological approach to identify anti-infective and pro-metabolic natural products [189921]
Citation (ISO format)
KIRCHHOFFER, Olivier Auguste et al. Prioritization of novel anti-infective stilbene derivatives by combining metabolomic data organization and a stringent 3R-infection model in a knowledge graph. In: RSC advances, 2025, vol. 15, n° 17, p. 13010–13030. doi: 10.1039/d4ra08421g
Main files (1)
Article (Published version)
Identifiers
- PID : unige:189886
- DOI : 10.1039/d4ra08421g
- PMID : 40271414
- PMCID : PMC12015462
Additional URL for this publicationhttps://xlink.rsc.org/?DOI=D4RA08421G
Journal ISSN2046-2069
