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". Bioinformatics. - DOI
Metadata
Release files for enkie 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| enkie-0.1.3.tar.gz | 59.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| enkie-0.1.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 143.4 kB
Release files / enkie-0.1.3.tar.gz
| Download URL | enkie-0.1.3.tar.gz |
|---|---|
| Size | 59.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
09f29b7f63c6a0bc0af2182d0d33129cdf7c0442e02b853b3a098b7b26f0d7b4
|
|
BLAKE2b-256 checksum How to use checksums |
03d862473147927c2c8bfa31e529976bb8fa8923e8a8e3cb91d6ae9b47f7aa6b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|
Release files / enkie-0.1.3-py2.py3-none-any.whl
| Download URL | enkie-0.1.3-py2.py3-none-any.whl |
|---|---|
| Size | 84.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
54ee023fab45d72308b06d677cdb21d957597046a1f9fdaaaa0d29f4eef896dd
|
|
BLAKE2b-256 checksum How to use checksums |
d9614818574946d3ea1448fbf14d1895537ab4978d653e1b11d3a7f134abf460
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.13.0
|