Project description

ENKIE - The ENzyme KInetics Estimator

ENKIE is a python package for the prediction of kinetic parameter values and uncertainties in metabolic networks. The package uses Bayesian Multilevel Models to predict values and uncertainties from reaction, protein and metabolite identifiers. The predictions are then combined with standard free energy estimates to ensure thermodynamic consistency.

Installation

ENKIE is available as a Python package on the Python Package Index, see the documentation for the installation instructions.

Cite us

If you use ENKIE in a scientific publication, please cite our paper:

Gollub, M.G., Backes, T., Kaltenbach, H.M., Stelling, J., 2023. "ENKIE: A package for predicting enzyme kinetic parameter values and their uncertainties". bioRxiv. - DOI

Project details

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Project links

Development Status
- 4 - Beta
Intended Audience
- Science/Research
License
- OSI Approved :: MIT License
Natural Language
- English
Programming Language
Topic
- Scientific/Engineering :: Bio-Informatics

Release history Release notifications | RSS feed

0.1.3

Nov 11, 2024

This version

0.1.2.post2

Mar 23, 2023

0.1.2.post1

Mar 22, 2023

0.1.2

Mar 22, 2023

0.1.1

Mar 1, 2023

0.1.0

Mar 1, 2023

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