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https://github.com/rigdenlab/conkit

Contact Prediction ToolKit
https://github.com/rigdenlab/conkit

contact-prediction python

Last synced: 5 months ago
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Contact Prediction ToolKit

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Contact Prediction ToolKit
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**A Python Interface to Contact Predictions**

.. image:: https://img.shields.io/badge/DOI-10.1093%2Fbioinformatics%2Fbtx148-blue.svg
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**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 `_.

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Installation & Usage
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Please refer to `ConKit's documentation `_.

Contributing
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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?
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Please use the `GitHub Issue Tracker`_.

.. _GitHub Issue Tracker: https://github.com/rigdenlab/conkit/issues