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:
Submit any suggestions to the GitHub Issue Tracker, or
Fork this repository, commit your changes and submit a pull request.
Found a Bug?
Please use the GitHub Issue Tracker.
Release files for conkit 0.13.3
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