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Which modern AI methods provide accurate predictions of toxicological end points? Analysis of Tox24 challenge results.
Chem. Res. Toxicol. 38, 1443-1451 (2025)
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Editorial
Schlagwörter
Chemicals
ISSN (print) / ISBN
0893-228X
e-ISSN
1520-5010
Zeitschrift
Chemical Research in Toxicology
Quellenangaben
Band: 38,
Heft: 9,
Seiten: 1443-1451
Verlag
American Chemical Society (ACS)
Verlagsort
1155 16th St, Nw, Washington, Dc 20036 Usa
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Structural Biology (STB)
Förderungen
U.S. Environmental Protection Agency
Research Participation Program at the Office of Research and Development Center for Computational Toxicology
Nathaniel Charest
odowska-Curie Actions Doctoral Network
Horizon Europe Marie Sklstrok
Marie Sklodowska-Curie Innovative Training Network European Industrial Doctorate
H2020 Marie Sklodowska-Curie Actions
Research Participation Program at the Office of Research and Development Center for Computational Toxicology
Nathaniel Charest
odowska-Curie Actions Doctoral Network
Horizon Europe Marie Sklstrok
Marie Sklodowska-Curie Innovative Training Network European Industrial Doctorate
H2020 Marie Sklodowska-Curie Actions