DACPGTN: Drug ATC Code Prediction Method Based on Graph Transformer Network for Drug Discovery

DACPGTN: Drug ATC Code Prediction Method Based on Graph Transformer Network for Drug Discovery

The Anatomical Therapeutic Chemical (ATC) classification system is a drug classification scheme proposed by the World Health Organization, which is widely used for drug screening, repositioning, and similarity research. The ATC system assigns different ATC codes to drugs based on their anatomy, phar...

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Bibliographic Details
Main Authors: Chaokun Yan, Zhihao Suo, Jianlin Wang, Ge Zhang, Huimin Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Pharmacology
Subjects:
drug ATC code
multi-label classification
interaction information
drug discovery
graph transformer network
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2022.907676/full

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