{"url":"/task/antibody-antigen-binding-prediction","name":"Antibody-antigen binding prediction","slug":"antibody-antigen-binding-prediction","description_markdown":"Antibody-antigen binding prediction involves using computational or experimental methods to assess how well an antibody interacts with its target antigen. This can be done by analyzing features such as sequence, structure, and physicochemical properties. These predictions aid in designing therapeutic antibodies, vaccines, and diagnostic tests. Validation through experimental assays ensures the accuracy of the predictions and their applicability in biomedical research and development.\r\n\r\nThe binding site prediction task is used to predict which antibody residues interact with an antigen.  A residue is considered part of the paratope’s binding site if any of its heavy atoms (non-hydrogen atoms) is located within 4.5˚A of any antigen-heavy atom.","categories":[{"name":"Medical","url":"/area/medical"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":10,"papers_with_code":9,"benchmarks":4,"benchmark_tables_in_archive":4,"benchmark_tables_shown":4,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":3,"subtasks":0,"parent_tasks":2},"benchmarks":[{"leaderboard":"/sota/antibody-antigen-binding-prediction-on-mipe","slug":"antibody-antigen-binding-prediction-on-mipe","dataset":"MIPE","dataset_url":"/dataset/mipe","rows_in_archive":7,"metrics":["AUC-PR","AUC-ROC"],"first_row_in_archive_order":{"model":"ParaSurf","paper_title":"ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction","paper_url":"/paper/parasurf-a-surface-based-deep-learning","paper_date":"2025-02-08","arxiv_id":null,"code_links":[{"title":"aggelos-michael-papadopoulos/ParaSurf","url":"https://github.com/aggelos-michael-papadopoulos/ParaSurf"}],"syntology":null}},{"leaderboard":"/sota/antibody-antigen-binding-prediction-on-pecan","slug":"antibody-antigen-binding-prediction-on-pecan","dataset":"PECAN","dataset_url":"/dataset/pecan","rows_in_archive":5,"metrics":["AUC-PR","AUC-ROC"],"first_row_in_archive_order":{"model":"ParaSurf","paper_title":"ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction","paper_url":"/paper/parasurf-a-surface-based-deep-learning","paper_date":"2025-02-08","arxiv_id":null,"code_links":[{"title":"aggelos-michael-papadopoulos/ParaSurf","url":"https://github.com/aggelos-michael-papadopoulos/ParaSurf"}],"syntology":null}},{"leaderboard":"/sota/antibody-antigen-binding-prediction-on","slug":"antibody-antigen-binding-prediction-on","dataset":"Antibody sequences against Sars-Cov-2 and Omicron BA.1","dataset_url":null,"rows_in_archive":3,"metrics":["Accuracy (5-fold)","Precision (5-fold)","Recall (5-fold)","Selectivity (5-fold)","NPV (5-fold)"],"first_row_in_archive_order":{"model":"XBCR-net (ACNN)","paper_title":"Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant","paper_url":"/paper/deep-learning-based-rapid-generation-of","paper_date":"2022-09-27","arxiv_id":null,"code_links":[{"title":"jianqingzheng/XBCR-net","url":"https://github.com/jianqingzheng/XBCR-net"}],"syntology":null}},{"leaderboard":"/sota/antibody-antigen-binding-prediction-on-1","slug":"antibody-antigen-binding-prediction-on-1","dataset":"Paragraph Expanded","dataset_url":"/dataset/paragraph-expanded","rows_in_archive":2,"metrics":["AUC-PR","AUC-ROC"],"first_row_in_archive_order":{"model":"ParaSurf","paper_title":"ParaSurf: A Surface-Based Deep Learning Approach for Paratope-Antigen Interaction Prediction","paper_url":"/paper/parasurf-a-surface-based-deep-learning","paper_date":"2025-02-08","arxiv_id":null,"code_links":[{"title":"aggelos-michael-papadopoulos/ParaSurf","url":"https://github.com/aggelos-michael-papadopoulos/ParaSurf"}],"syntology":null}}],"datasets":[{"url":"/dataset/mipe","name":"MIPE","full_name":"Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation","num_papers_in_archive":7},{"url":"/dataset/pecan","name":"PECAN","full_name":"Paratope-Epitope Complexes for Antibody Networks (PECAN)","num_papers_in_archive":5},{"url":"/dataset/paragraph-expanded","name":"Paragraph Expanded","full_name":"Paragraph Expanded","num_papers_in_archive":2}],"subtasks":[],"parent_tasks":[{"url":"/task/binding-site-prediction","name":"Binding Site Prediction"},{"url":"/task/protein-function-prediction","name":"Protein Function Prediction"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); 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