Omkar2118/datasets huggingface dataset:
AsEP
Full name: Antibody-specific Epitope Prediction

AsEP is a protein structure dataset that includes 1723 filtered antibody-antigen complexes from abYbank/AbDb.
 
It is designed to facilitate the development of machine-learning-based models for predicting antibody-specific epitopes given a pair of antibody and antigen structures as input, which is important for antibody engineering. The dataset also introduces a new task for predicting the interacting residue pairs between antibodies and antigens, which is useful for understanding the functional properties of antibodies and enhances the interpretability of model performance.
 
Please refer to this GitHub repository AsEP-dataset for the dataset interface, which is built with Python and PyTorch-Geometric Dataset Module.

Introducing paper: AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction