MsgaBpred: A B-cell epitope predictor integrating AlphaFold3-predicted structures with multi-scale GCNs and pre-trained language model ESM-C
Fig 2
A. The performance of using different feature combinations on the independent test data.
The evaluation metrics include AUC, AUPR, Precision, F1-score, MCC, and BACC. B. w/o means without the corresponding module. Ablation study results showing the performance of the full model and three variant architectures across five metrics: AUC, AUPR, Precision, F1-score, and MCC.