Protein Structure Datasets for Protein Workshop
<p>Raw + Processed Datasets used in the ProteinWorkshop Representation Learning Benchmark</p> <p> </p> <p>Includes datasets from:</p> <p>* The Antibody Developability dataset from Chen et al. (https://doi.org/10.1101/2020.06.18.159798)</p> <p>* CATH from Ingraham et al. (https://www.mit.edu/~vgarg/GenerativeModelsForProteinDesign.pdf)</p> <p>* CCPDB datasets from Agrawal et al. (https://doi.org/10.1093/database/bay142)</p> <p>* The Deep Sea Proteins dataset from Sieg et al. (https://doi.org/10.1002/prot.26337)</p> <p>* Reaction Class prediction from Hermosilla et al. (https://doi.org/10.48550/arXiv.2007.06252)</p> <p>* FoldClassification from Hou et al. (https://doi.org/10.1093/bioinformatics/btx780)</p> <p>* MaSIF Site dataset from Gainza et al. (https://doi.org/10.1038/s41592-019-0666-6)</p> <p>* Metal3d Dataset from Duerr et al. (https://doi.org/10.1038/s41467-023-37870-6)</p> <p>* Post-translational Modification Dataset from Yan et al. (https://doi.org/10.1016/j.crmeth.2023.100430)</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
Topics
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