Skip to main content

ENKIE - The ENzyme KInetics Estimator

Project description

ENKIE - The ENzyme KInetics Estimator

Documentation Status PyPI version

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

enkie-0.1.2.post2.tar.gz (62.0 kB view hashes)

Uploaded Source

Built Distribution

enkie-0.1.2.post2-py2.py3-none-any.whl (88.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page