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. 2025 Feb 5;17:18. doi: 10.1186/s13321-025-00952-2

Table 2.

Benchmarking BarlowDTI against other models using Koh et al. splits [16]

Dataset Split Model ROC AUC PR AUC
BioSNAP Unseen protein BarlowDTI  0.9572 0.9679
DrugBAN [16, 44] 0.7327 0.7971
PSICHIC [16] 0.8819 0.9071
STAMP-DPI [16, 45] 0.8372 0.8738
XGBoost 0.8506 0.8794
Random split BarlowDTI  0.9718 0.9755
DrugBAN [16, 44] 0.9089 0.9159
PSICHIC [16] 0.9246 0.9226
STAMP-DPI [16, 45] 0.8993 0.9056
XGBoost 0.9146 0.9242
Unseen ligand BarlowDTI  0.9666 0.9706
DrugBAN [16, 44] 0.8775 0.8843
PSICHIC [16] 0.9019 0.9030
STAMP-DPI [16, 45] 0.8902 0.8915
XGBoost 0.8909 0.9026
BindingDB Unseen protein BarlowDTI  0.6939 0.5791
DrugBAN [16, 44] 0.6523 0.5295
PSICHIC [16] 0.7537 0.6241
STAMP-DPI [16, 45] 0.6828 0.5735
XGBoost 0.6460 0.5233
Random split BarlowDTI  0.9640 0.9513
DrugBAN [16, 44] 0.9640 0.9539
PSICHIC [16] 0.9503 0.9280
STAMP-DPI [16, 45] 0.9318 0.9085
XGBoost 0.9582 0.9462
Unseen ligand BarlowDTI  0.9456 0.9263
DrugBAN [16, 44] 0.9409 0.9188
PSICHIC [16] 0.9264 0.8975
STAMP-DPI [16, 45] 0.9027 0.8683
XGBoost 0.9374 0.9141
Human Unseen protein BarlowDTI  0.9630 0.9693
DrugBAN [16, 44] 0.9298 0.9417
PSICHIC [16] 0.9503 0.9595
STAMP-DPI [16, 45] 0.8563 0.8748
XGBoost 0.8961 0.9171
Random split BarlowDTI  0.9917 0.9905
DrugBAN [16, 44] 0.9841 0.9753
PSICHIC [16] 0.9861 0.9840
STAMP-DPI [16, 45] 0.9659 0.9582
XGBoost 0.9813 0.9782
Unseen ligand BarlowDTI  0.9346 0.9348
DrugBAN [16, 44] 0.9459 0.9387
PSICHIC [16] 0.9500 0.9371
STAMP-DPI [16, 45] 0.9156 0.8980
XGBoost 0.9391 0.9337

Performance was evaluated against three established benchmarks, and the mean of the BarlowDTI performance of five replicates are presented. All other metrics are taken from Koh et al. Best result per benchmark and split is highlighted in bold. Koh et al. does not present replicates or sample-correlated predictions [16]