{"url":"/dataset/asep","name":"AsEP","full_name":"Antibody-specific Epitope Prediction","description_markdown":"AsEP is a protein structure dataset that includes 1723 filtered antibody-antigen complexes from abYbank/AbDb.\r\n \r\nIt 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.\r\n \r\nPlease refer to this GitHub repository AsEP-dataset for the dataset interface, which is built with Python and PyTorch-Geometric Dataset Module.","description_withheld":null,"homepage":"https://zenodo.org/records/11495514","introduced_date":"2024-06-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/asep-benchmarking-deep-learning-methods-for","title":"AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction","first_author":"Chunan Liu","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[{"name":"Graph Learning","url":"/task/graph-learning","datasets_with_task":"/datasets/task/graph-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["AsEP"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}