Sequence-based drug-target affinity prediction using weighted graph neural networks

BMC Genomics

Table 6 Performance of DTA prediction with and without edge weights on Davis dataset

Method	AUC	Precision	Recall
WGNN-DTA (GCN)	0.208	0.902	0.862
WGNN-DTA (GAT)	0.208	0.898	0.863
Without Weight (GCN)	0.215	0.893	0.856
Without Weight (GAT)	0.224	0.892	0.850

The values in boldface represent the best prediction performances with the corresponding measures

ISSN: 1471-2164