PECAN
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The PECAN dataset provides structural data for antibody-antigen interactions, specifically curated for paratope and epitope binding site prediction. It includes a diverse set of antibody-antigen complexes, ensuring a well-balanced and representative dataset for training and evaluating deep learning models in protein-protein interaction (PPI) tasks. Characteristics: - Focuses on antibody-antigen binding site prediction. - Derived from high-resolution X-ray crystallography structures. - Includes training, validation, and test splits. - Used as a benchmark dataset in multiple antibody binding site prediction studies. Motivation and Use Cases: - Facilitates the development of deep learning models for paratope and epitope identification. - Enables researchers to evaluate and compare methods for antibody-antigen interaction prediction. - Used in ParaSurf, a deep learning framework that achieves state-of-the-art results on this dataset.
Biology