--- license: cc-by-4.0 tags: - chemistry - biology pretty_name: CatPred A comprehensive framework for deep learning in vitro enzyme kinetic parameters repo: https://github.com/maranasgroup/CatPred-DB citation_bibtex: "@article{Boorla2025,title = {CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters},volume = {16},ISSN = {2041-1723},url = {http://dx.doi.org/10.1038/s41467-025-57215-9},DOI = {10.1038/s41467-025-57215-9},number = {1},journal = {Nature Communications},publisher = {Springer Science and Business Media LLC},author = {Boorla, Veda Sheersh and Maranas, Costas D.},year = {2025},month = feb}" citation_apa: "Boorla, V. S., & Maranas, C. D. (2025). CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters. Nature Communications, 16(1), 2072. doi:10.1038/s41467-025-57215-9" configs: - config_name: kcat data_files: - split: train path: kcat/kcat_train.csv - split: test path: kcat/kcat_test.csv - split: val path: kcat/kcat_val.csv - config_name: ki data_files: - split: train path: ki/ki_train.csv - split: test path: ki/ki_test.csv - split: val path: ki/ki_val.csv - config_name: km data_files: - split: train path: km/km_train.csv - split: test path: km/km_test.csv - split: val path: km/km_val.csv dataset_info: - config_name: kcat features: - name: sequence dtype: string - name: sequence_source dtype: string - name: uniprot dtype: string - name: reaction_smiles dtype: string - name: value dtype: float64 - name: reaction_mw_diff_perc dtype: float64 - name: temperature dtype: float64 - name: ph dtype: float64 - name: ec dtype: string - name: taxonomy_id dtype: float64 - name: log10_value dtype: float64 - name: reactant_smiles dtype: string - name: product_smiles dtype: string - name: log10kcat_max dtype: float64 - name: group dtype: string - name: pdbpath dtype: string - name: reactant_smiles_20cluster dtype: int64 - name: sequence_20cluster dtype: int64 - name: reactant_smiles_40cluster dtype: int64 - name: sequence_40cluster dtype: int64 - name: reactant_smiles_60cluster dtype: int64 - name: sequence_60cluster dtype: int64 - name: reactant_smiles_80cluster dtype: int64 - name: sequence_80cluster dtype: int64 - name: reactant_smiles_99cluster dtype: int64 - name: sequence_99cluster dtype: int64 splits: - name: train num_bytes: 28336048 num_examples: 18750 - name: test num_bytes: 3518955 num_examples: 2315 - name: val num_bytes: 3125504 num_examples: 2083 - config_name: km features: - name: sequence dtype: string - name: sequence_source dtype: string - name: uniprot dtype: string - name: substrate_smiles dtype: string - name: value dtype: float64 - name: temperature dtype: float64 - name: ph dtype: float64 - name: ec dtype: string - name: taxonomy_id dtype: float64 - name: log10_value dtype: float64 - name: log10km_mean dtype: float64 - name: group dtype: string - name: pdbpath dtype: string - name: substrate_smiles_20cluster dtype: int64 - name: sequence_20cluster dtype: int64 - name: substrate_smiles_40cluster dtype: int64 - name: sequence_40cluster dtype: int64 - name: substrate_smiles_60cluster dtype: int64 - name: sequence_60cluster dtype: int64 - name: substrate_smiles_80cluster dtype: int64 - name: sequence_80cluster dtype: int64 - name: substrate_smiles_99cluster dtype: int64 - name: sequence_99cluster dtype: int64 splits: - name: train num_bytes: 39599382 num_examples: 33349 - name: test num_bytes: 4847070 num_examples: 4117 - name: val num_bytes: 4405799 num_examples: 3705 - config_name: ki features: - name: sequence dtype: string - name: sequence_source dtype: string - name: uniprot dtype: string - name: substrate_smiles dtype: string - name: value dtype: float64 - name: temperature dtype: float64 - name: ph dtype: float64 - name: ec dtype: string - name: taxonomy_id dtype: float64 - name: log10_value dtype: float64 - name: log10ki_mean dtype: float64 - name: group dtype: string - name: pdbpath dtype: string - name: substrate_smiles_20cluster dtype: int64 - name: sequence_20cluster dtype: int64 - name: substrate_smiles_40cluster dtype: int64 - name: sequence_40cluster dtype: int64 - name: substrate_smiles_60cluster dtype: int64 - name: sequence_60cluster dtype: int64 - name: substrate_smiles_80cluster dtype: int64 - name: sequence_80cluster dtype: int64 - name: substrate_smiles_99cluster dtype: int64 - name: sequence_99cluster dtype: int64 - name: canonical_smiles dtype: string splits: - name: train num_bytes: 11601551 num_examples: 9661 - name: test num_bytes: 1429525 num_examples: 4117 - name: val num_bytes: 1291111 num_examples: 3705 ---