Skip to main content

mewpy - Metabolic Engineering in Python

Project description

MEWpy

MEWpy is an integrated Metabolic Engineering Workbench for strain design optimization. It offers methods to explore different classes of constraint-based models (CBM) for:

  • Simulation: allows to simulate of steady-state metabolic models, considering different formulations (e.g., GECKO, ETFL) and kinetic models;
  • Optimization: performs Evolutionary Computation based strain design optimization by knocking out (KO) or over/under expressing (OU) reactions, genes, or enzymes.
  • Omics data integration (eFlux, GIMME, iMAT);
  • Regulatory networks integration (rFBA, srFBA)

MEWPy currently supports REFRAMED and COBRApy simulation environments.

Documentation


For documentation and API please check: `https://mewpy.readthedocs.io <https://mewpy.readthedocs.io>`_


Installation
~~~~~~~~~~~~

pip install mewpy


Credits and License

Developed at:

  • Centre of Biological Engineering, University of Minho (2019-)

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

mewpy-0.1.31.tar.gz (22.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mewpy-0.1.31-py2.py3-none-any.whl (976.1 kB view details)

Uploaded Python 2Python 3

File details

Details for the file mewpy-0.1.31.tar.gz.

File metadata

  • Download URL: mewpy-0.1.31.tar.gz
  • Upload date:
  • Size: 22.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for mewpy-0.1.31.tar.gz
Algorithm Hash digest
SHA256 281ff90ecc6cfbbab5c62a930aaa73faa274e304fc67301a69c3968a7be451f0
MD5 97b5b5d82e83f4115649a6d95e57dc03
BLAKE2b-256 f0c699c08a302df41c371679d06ad4a1a85fbe558760c9abce466744aa48c0c7

See more details on using hashes here.

File details

Details for the file mewpy-0.1.31-py2.py3-none-any.whl.

File metadata

  • Download URL: mewpy-0.1.31-py2.py3-none-any.whl
  • Upload date:
  • Size: 976.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for mewpy-0.1.31-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 da260d2c4704883dd7eeb6d5357b79760bdb4b70b84d6ae7f7f72436b0aaf8b7
MD5 202edfafbd86446e074c749d6e2e238c
BLAKE2b-256 d5e1ac0aee41bfe6949f6128d873449c7b280592b1e2c52d23fb55ee252c6c7d

See more details on using hashes here.

Supported by

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