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Drug vector representation and potential efficacy prediction based on graph representation learning and transcriptome data

Acacetin from traditional Chinese Medicine model

Bibliographic Data

ID14733886
AuthorsJian-Ping Deng, Jianping Deng (0000-0002-5526-8202, Guangzhou University of Chinese Medicine), Xin Liu (0000-0001-5207-1685, Guangzhou University of Chinese Medicine), Yue Li (0009-0004-9365-9070, Guangzhou University of Chinese Medicine), Shi-Hao Ni (0000-0002-9260-2839, Guangzhou University of Chinese Medicine), Shu-Ning Sun, Shuning Sun (Guangzhou University of Chinese Medicine), Xiao-Lu Ou-Yang (Guangzhou University of Chinese Medicine), Xiaohan Ye (0000-0002-3836-4120, Guangzhou University of Chinese Medicine, corresponding author), Xiao-Han Ye, Ling-jun Wang, Lingjun Wang (0000-0001-6214-5182, Guangzhou University of Chinese Medicine, corresponding author), Lu Lu (0000-0001-9852-3560, Guangzhou University of Chinese Medicine, corresponding author)
Year2023
Volume305
Pages115966
Publication date2023-04-01
Open AccessYes
TypeARTICLE
VenueJournal of Ethnopharmacology (JOURNAL)
Journal identifiersISSN: 0378-8741 • E-ISSN: 1872-7573
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jep.2022.115966
PMID36572325
OpenAlexW4312212076
LanguageEN
References cited25

Acacetin · Biology · Drug · Drug repositioning · Feature learning · Graph · Machine learning · Bioinformatics and Genomic Networks · Computational Drug Discovery Methods · Computer Science · Metabolomics and Mass Spectrometry Studies · Artificial Intelligence

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