Multi-layer graph attention neural networks for accurate drug-target interaction mapping
Multi-layer graph attention neural networks for accurate drug-target interaction mapping
About this item
Full title
Author / Creator
Lu, Qianwen , Zhou, Zhiheng and Wang, Qi
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
In the crucial process of drug discovery and repurposing, precise prediction of drug-target interactions (DTIs) is paramount. This study introduces a novel DTI prediction approach—Multi-Layer Graph Attention Neural Network (MLGANN), through a groundbreaking computational framework that effectively harnesses multi-source information to enhance predi...
Alternative Titles
Full title
Multi-layer graph attention neural networks for accurate drug-target interaction mapping
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3f1c75917d084435a5f39c6dcc75fbad
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3f1c75917d084435a5f39c6dcc75fbad
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-75742-1
