PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction
Table 3
Performance comparison between PepLM-GNN and other pre-trained language models on the benchmark dataset in terms of ACC, F1, AUC, and AUPR. The benchmark dataset contains 17,244 samples (8,622 positive and 8,622 negative pairs). All metrics (ACC, F1, AUC, AUPR) are the mean ± standard deviation of five folds from five-fold cross-validation.