Pecan

Utilized refined subsets of Structural Antibody Database (SAbDab) for model training and evaluation, employing distinct datasets to compare with state-of-the-art methods. Implemented model using PyTorch with 10-fold cross-validation, leveraging pre-trained models for fine-tuning. Evaluated using ROC AUC, F1-Score, Precision, Recall, MCC, and PR-AUC. ParaAntiProt architecture based on ProtTrans, incorporating tokenization, CDR masking, context-aware embeddings, CDR positional encoding, feature extraction, and final prediction network.