Skip to main content

Python Interface for Residue-Residue Contact Predictions

Project description

A Python Interface to contact predictions

This project is a result of the continuous struggle using residue-residue contact prediction pipelines, visualisation tools and related software. The aim was to reduce this complexity and provide one unified interface as a basic platform. The resulting platform is the Contact Prediction ToolKit, or ConKit in short.

PyPy Package Python Versions Documentation Status Travis Build Coveralls Status Code Health

Key Features

  • Parsers for Multiple Sequence Alignment and contact prediction files
  • Easy-to-use wrappers for the most-commonly used software, e.g. HHblits, Jackhmmer, CCMpred, PSICOV, …
  • Many convenience functions for prediction-structure matching, determination of True Positive contacts, calculation of MSA and contact prediction statistics, etc.


ConKit was presented at the CCP4 Study Weekend 2017. To view the presentation slides, click here.


There are two ways by which you can contribute to ConKit:

  1. Submit any suggestions to the GitHub Issue Tracker, or
  2. Fork this repository, commit your changes and submit a pull request.

Found a Bug?

Please use the GitHub Issue Tracker.


Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
conkit-0.5.tar.gz (42.6 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page