A Chemical Structure and Machine Learning Approach to Assess the Potential Bioactivity of Endogenous Metabolites and Their Association with Early Childhood Systemic Inflammation
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Keywords: metabolomics; QSAR; inflammation; cortisol; cortisone; vitamin A; CRP
Originalsprog | Engelsk |
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Artikelnummer | 278 |
Tidsskrift | Metabolites |
Vol/bind | 14 |
Udgave nummer | 5 |
Antal sider | 16 |
ISSN | 2218-1989 |
DOI | |
Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:
B.C. received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation program (grant agreement No. 946228). J.L.S. received funding from the National Heart, Lung, and Blood Institute (NHLBI) grants R01HL123915 and R01HL141826. COPSAC is funded by private and public research funds, all listed on www.copsac.com (access date 25 April 2024). The Lundbeck Foundation, the Novo Nordisk Foundation, the Danish Ministry of Health, the Danish Council for Strategic Research, and the Capital Region Research Foundation provided core support for COPSAC. M.A.R. has funding from the Novo Nordisk Foundation (grant nb: NNF21OC0068517). M.L., K.\u010C., I.\u0160. have funding from the European Commission (grant agreement ID: 101057497).
Publisher Copyright:
© 2024 by the authors.
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