Python Interface for Residue-Residue Contact Predictions
Project description
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 an overview of 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
conkit-0.13.2.tar.gz
(172.1 kB
view hashes)