GPCNDTA: prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores

L Zhang, CC Wang, Y Zhang, X Chen - Computers in Biology and Medicine, 2023 - Elsevier
Drug-target affinity prediction is a challenging task in drug discovery. The latest
computational models have limitations in mining edge information in molecule graphs …
被引用次数：12 相关文章

GPCNDTA:: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores

L Zhang, CC Wang, Y Zhang, X Chen - 2023 - dl.acm.org
Drug-target affinity prediction is a challenging task in drug discovery. The latest
computational models have limitations in mining edge information in molecule graphs …

GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores

L Zhang, CC Wang, Y Zhang… - Computers in biology and … - pubmed.ncbi.nlm.nih.gov
Drug-target affinity prediction is a challenging task in drug discovery. The latest
computational models have limitations in mining edge information in molecule graphs …

GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores.

L Zhang, CC Wang, Y Zhang, X Chen - Computers in Biology and …, 2023 - europepmc.org
Drug-target affinity prediction is a challenging task in drug discovery. The latest
computational models have limitations in mining edge information in molecule graphs …