PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction
Table 4
P-values of statistical t-test for ACC: PepLM-GNN with different pre-trained model on five-fold cross-validation set. This table reports the p-values of statistical t-tests between the PepLM-GNN (using ProtT5) and other pre-trained language models. T-tests are based on the mean ACC values from five-fold cross-validation on the benchmark dataset (17244 samples: 8622 positive + 8622 negative pairs). A p-value < 0.05 indicates that the original PepLM-GNN has a statistically significantly higher ACC than the variant.