Skip to main content

A Python implementation of the BioPAX object model, and parts of PaxTools.

Project description

PyBioPAX: A python implementation of the BioPAX object model

License DOI Build Documentation PyPI version Python 3

PyBioPAX implements the BioPAX level 3 object model (http://www.biopax.org/release/biopax-level3-documentation.pdf) as a set of Python classes. It exposes API functions to read OWL files into this object model, and to dump OWL files from this object model. This allows for the processing and creation of BioPAX models natively in Python.

Gyori BM, Hoyt CT (2022). PyBioPAX: biological pathway exchange in Python. Journal of Open Source Software, 7(71), 4136, https://doi.org/10.21105/joss.04136

Installation

PyBioPAX can be installed from PyPI as a package:

$ pip install pybiopax

Usage

Reading an OWL file into a BioPaxModel object:

import pybiopax
model = pybiopax.model_from_owl_file('test.owl')

Writing a BioPaxModel into an OWL file:

import pybiopax
pybiopax.model_to_owl_file(model, 'test.owl')

Querying Pathway Commons to get a BioPaxModel object:

import pybiopax
model = pybiopax.model_from_pc_query('pathsfromto', ['MAP2K1'], ['MAPK1'])

Working with the elements of the Python object model:

import pybiopax
model = pybiopax.model_from_pc_query('pathsfromto', ['MAP2K1'], ['MAPK1'])

# Each BioPaxModel instance has an objects attribute which is a dict
# whose keys are object URIs (strings) and values are BioPaxObject instances.
assert isinstance(model.objects, dict)
assert all(isinstance(obj, pybiopax.biopax.BioPaxObject)
           for obj in model.objects.values())

# Let's look at a specific object
bcr = model.objects['BiochemicalReaction_4f689747397d98089c551022a3ae2d88']

# This is a BiochemicalReaction which has a left and a right side. All list/set
# types per the BioPAX specification are represented as lists in the Python
# object model
# Both left and right consist of a single protein
left = bcr.left[0]
assert isinstance(left, pybiopax.biopax.Protein)
assert left.display_name == 'ERK1-2'
right = bcr.right[0]
assert isinstance(right, pybiopax.biopax.Protein)
assert right.display_name == 'ERK1-2-active'

We can also use the pybiopax.paths module to construct iterators over objects based on a string specification from a given starting point. Continuing from the block of code above, we take the BiochemicalReaction bcr and link to reactants on its left hand side, then linking to their entity references, and finally linking back to all the physical entities that those are references of.

from pybiopax.paths import find_objects

erks = find_objects(bcr, 'left/entity_reference/entity_reference_of')

Contribution and support

To contribute to the code, please submit a pull request after reading the contribution guidelines. To report bugs and issues, or ask questions related to PyBioPAX, please submit an issue.

Funding

Development of this software was supported by the Defense Advanced Research Projects Agency under award W911NF-15-1-0544 and the National Cancer Institute under award U54-CA225088.

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

pybiopax-0.1.4.tar.gz (3.7 MB view details)

Uploaded Source

Built Distribution

pybiopax-0.1.4-py3-none-any.whl (24.0 kB view details)

Uploaded Python 3

File details

Details for the file pybiopax-0.1.4.tar.gz.

File metadata

  • Download URL: pybiopax-0.1.4.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pybiopax-0.1.4.tar.gz
Algorithm Hash digest
SHA256 1f51c34f675fa6565e8082868a0bcb35f55f5dea302eb466ef2cf7132b67899e
MD5 c301237cef2de33e508ac991f5e3d977
BLAKE2b-256 26bd91d6b9a5feb32bcd554d9c4333500569785a045e142f0c5f44a0e1880152

See more details on using hashes here.

File details

Details for the file pybiopax-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: pybiopax-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 24.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pybiopax-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 6eefc38c6df22de583e6ecffb7552ff51b439f251d63947152560a7cbd8ce0a0
MD5 8b467cb9dc1f01ffb6bc418429c2044a
BLAKE2b-256 12093cdf86a4b4d5c8daff6d40235d282dc65bc6d984dd7f3dfae38c48895359

See more details on using hashes here.

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