Contact Prediction ToolKit

A Python Interface to Contact Predictions

NEW: Now ConKit is also compatible with residue-residue distance predictions

ConKit is a Python library to provide a data object hierarchy and associated routine operations to work and manipulate residue-residue contact prediction data. Main features shipped with this library include:

• Parsers for Multiple Sequence Alignment, contact prediction and residue distance prediction files
• Analysis functions for Multiple Sequence Alignment, contact prediction data and residue distance prediction data
• Visualisation of Multiple Sequence Alignment, contact prediction data and residue distance prediction data
• Validation of models based on residue distance predictions
• Python wrappers for the contact-prediction-related software

For a general overview of ConKit, watch this video.

For an overview of model validation with ConKit, watch this video.

Installation & Usage

Please refer to ConKit's documentation.

Contributing

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.