| | --- |
| | license: cc-by-4.0 |
| | --- |
| | Name: CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters |
| |
|
| | Paper: |
| | Boorla, V.S., Maranas, C.D. CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters. |
| | Nat Commun 16, 2072 (2025). https://doi.org/10.1038/s41467-025-57215-9 |
| |
|
| | tags: |
| | - biology |
| | - chemistry |
| | 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 |
| | 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: float |
| | - name: reaction_mw_diff_perc |
| | dtype: float |
| | - name: temperature |
| | dtype: int |
| | - name: ph |
| | dtype: float |
| | - name: ec |
| | dtype: string |
| | - name: taxonomy_id |
| | dtype: int |
| | - name: log10_value |
| | dtype: float |
| | - name: reactant_smiles |
| | dtype: string |
| | - name: product_smiles |
| | dtype: string |
| | - name: log10kcat_max |
| | dtype: float |
| | - name: group |
| | dtype: string |
| | - name: pdbpath |
| | dtype: string |
| | - name: reactant_smiles_20cluster |
| | dtype: int |
| | - name: sequence_20cluster |
| | dtype: int |
| | - name: reactant_smiles_40cluster |
| | dtype: int |
| | - name: sequence_40cluster |
| | dtype: int |
| | - name: reactant_smiles_60cluster |
| | dtype: int |
| | - name: sequence_60cluster |
| | dtype: int |
| | - name: reactant_smiles_80cluster |
| | dtype: int |
| | - name: sequence_80cluster |
| | dtype: int |
| | - name: reactant_smiles_99cluster |
| | dtype: int |
| | - name: sequence_99cluster |
| | dtype: int |
| | 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: float |
| | - name: temperature |
| | dtype: int |
| | - name: ph |
| | dtype: float |
| | - name: ec |
| | dtype: string |
| | - name: taxonomy_id |
| | dtype: int |
| | - name: log10_value |
| | dtype: float |
| | - name: log10km_mean |
| | dtype: float |
| | - name: group |
| | dtype: string |
| | - name: pdbpath |
| | dtype: string |
| | - name: substrate_smiles_20cluster |
| | dtype: int |
| | - name: sequence_20cluster |
| | dtype: int |
| | - name: substrate_smiles_40cluster |
| | dtype: int |
| | - name: sequence_40cluster |
| | dtype: int |
| | - name: substrate_smiles_60cluster |
| | dtype: int |
| | - name: sequence_60cluster |
| | dtype: int |
| | - name: substrate_smiles_80cluster |
| | dtype: int |
| | - name: sequence_80cluster |
| | dtype: int |
| | - name: substrate_smiles_99cluster |
| | dtype: int |
| | - name: sequence_99cluster |
| | dtype: int |
| | 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: float |
| | - name: temperature |
| | dtype: int |
| | - name: ph |
| | dtype: float |
| | - name: ec |
| | dtype: string |
| | - name: taxonomy_id |
| | dtype: int |
| | - name: log10_value |
| | dtype: float |
| | - name: log10ki_mean |
| | dtype: float |
| | - name: group |
| | dtype: string |
| | - name: pdbpath |
| | dtype: string |
| | - name: substrate_smiles_20cluster |
| | dtype: int |
| | - name: sequence_20cluster |
| | dtype: int |
| | - name: substrate_smiles_40cluster |
| | dtype: int |
| | - name: sequence_40cluster |
| | dtype: int |
| | - name: substrate_smiles_60cluster |
| | dtype: int |
| | - name: sequence_60cluster |
| | dtype: int |
| | - name: substrate_smiles_80cluster |
| | dtype: int |
| | - name: sequence_80cluster |
| | dtype: int |
| | - name: substrate_smiles_99cluster |
| | dtype: int |
| | - name: sequence_99cluster |
| | dtype: int |
| | 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 |