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Raw + Processed Datasets used in the ProteinWorkshop Representation Learning Benchmark Includes datasets from: * The Antibody Developability dataset from Chen et al. (https://doi.org/10.1101/2020.06.18.159798) * CATH from Ingraham et al. (https://www.mit.edu/~vgarg/GenerativeModelsForProteinDesign.pdf) * CCPDB datasets from Agrawal et al. (https://doi.org/10.1093/database/bay142) * The Deep Sea Proteins dataset from Sieg et al. (https://doi.org/10.1002/prot.26337) * Reaction Class prediction from Hermosilla et al. (https://doi.org/10.48550/arXiv.2007.06252) * FoldClassification from Hou et al. (https://doi.org/10.1093/bioinformatics/btx780) * MaSIF Site dataset from Gainza et al. (https://doi.org/10.1038/s41592-019-0666-6) * Metal3d Dataset from Duerr et al. (https://doi.org/10.1038/s41467-023-37870-6) * Post-translational Modification Dataset from Yan et al. (https://doi.org/10.1016/j.crmeth.2023.100430)
Protein, Structure, ML
Protein, Structure, ML
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