CatPred-DB / README.md
mcguire1's picture
formatting (#19)
395b0f9
|
raw
history blame
4.79 kB
---
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