Skip to main content

Contact maps based on MDTraj

Project description

Documentation Status Linux Build Status Windows Build status Coverage Status PyPI conda-forge

Codacy Badge Maintainability

Contact Maps

This package provides tools for analyzing and exploring contacts (residue-residue and atom-atom) from a trajectory generated by molecular dynamics. It builds on the excellent tools provided by MDTraj.

Contacts can be an important tool for defining (meta)stable states in processes involving biomolecules. For example, an analysis of contacts can be particularly useful when defining bound states during a binding processes between proteins, DNA, and small molecules (such as potential drugs).

The contacts analyzed by contact_map can be either intermolecular or intramolecular, and can be analyzed on a residue-residue basis or an atom-atom basis.

This package makes it very easy to answer questions like:

  • What contacts are present in a trajectory?

  • Which contacts are most common in a trajectory?

  • What is the difference between the frequency of contacts in one trajectory and another? (Or with a specific frame, such as a PDB entry.)

  • For a particular residue-residue contact pair of interest, which atoms are most frequently in contact?

It also facilitates visualization of the contact matrix, with colors representing the fraction of trajectory time that the contact was present.

Full documentation is at http://contact-map.readthedocs.io/.

Installation

The easiest way to install is with conda. Conda is a powerful package and environment management system. If you do not already have a highly customized Python environment, we recommend starting by installing conda, either in the full anaconda distribution or the smaller-footprint miniconda. This package is distributed through the conda-forge channel; install it with:

conda install -c conda-forge contact_map

If you don’t want to use conda, you can also use pip (via a more complicated process) or do a developer install. See the installation documentation for details.

Support and development

contact_map is an open source project, released under the GNU LGPL, version 2.1 or (at your option) any later version. Development takes place in public at https://github.com/dwhswenson/contact_map; your contributions would be welcome!

If you have suggestions or bug reports, please raise an issue on our GitHub issue page.

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

contact_map-0.4.0.tar.gz (48.7 kB view details)

Uploaded Source

Built Distribution

contact_map-0.4.0-py2.py3-none-any.whl (51.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file contact_map-0.4.0.tar.gz.

File metadata

  • Download URL: contact_map-0.4.0.tar.gz
  • Upload date:
  • Size: 48.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.3

File hashes

Hashes for contact_map-0.4.0.tar.gz
Algorithm Hash digest
SHA256 775a7a5c1dbcbb19adefeaec2c3d11ff6274ce3329ed3b42bd42fda453ab542e
MD5 9d79f9be43d0720d4d790e98b5baa885
BLAKE2b-256 be839ae85cfd3d9fadab55fd20e6c1f6ea3b21ca5c6d5899aa9fc6da00c4c9bc

See more details on using hashes here.

File details

Details for the file contact_map-0.4.0-py2.py3-none-any.whl.

File metadata

  • Download URL: contact_map-0.4.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 51.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.3

File hashes

Hashes for contact_map-0.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2130af262b0092bcec6c94437a626b125087de68bce25207c70db0b65d2567a7
MD5 41231510415337f3556b8d386ffe48e5
BLAKE2b-256 109f6eb0d5d87b82cfb7429d7f4e4b2a90035867706b1d4056835201474f504f

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