TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine Learning.
Journal
Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060
Informations de publication
Date de publication:
27 09 2021
27 09 2021
Historique:
pubmed:
17
9
2021
medline:
25
2
2023
entrez:
16
9
2021
Statut:
ppublish
Résumé
One of the most challenging tasks in the drug-discovery process is the efficient identification of small molecules with desired phenotypes. In this study, we propose a novel computational method for omics-based
Identifiants
pubmed: 34528432
doi: 10.1021/acs.jcim.1c00967
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM