TY  - JOUR
AU  - Chen, Yaojia
AU  - Wang, Jiacheng
AU  - Zou, Quan
AU  - Niu, Mengting
AU  - Ding, Yijie
AU  - Song, Jiangning
AU  - Wang, Yansu
PY  - 2024
DA  - 2024/10/14
TI  - DrugDAGT: a dual-attention graph transformer with contrastive learning improves drug-drug interaction prediction
JO  - BMC Biology
SP  - 233
VL  - 22
IS  - 1
AB  - Drug-drug interactions (DDIs) can result in unexpected pharmacological outcomes, including adverse drug events, which are crucial for drug discovery. Graph neural networks have substantially advanced our ability to model molecular representations; however, the precise identification of key local structures and the capture of long-distance structural correlations for better DDI prediction and interpretation remain significant challenges.
SN  - 1741-7007
UR  - https://doi.org/10.1186/s12915-024-02030-9
DO  - 10.1186/s12915-024-02030-9
ID  - Chen2024
ER  -