Acknowledgements

PARROT, created by Dan Griffith, was used to generate the network used for metapredict. See https://pypi.org/project/idptools-parrot/ for some very cool machine learning stuff from Dan.

In addition to using Dan Griffith’s tool for creating metapredict, the code for brnn_architecture.py and encode_sequence.py was written by Dan (originally for PARROT).

We would also like to thank the team at MobiDB for creating the database that was used to train this predictor. Check out their awesome stuff at https://mobidb.bio.unipd.it

We would like to thank the DeepMind team for developing AlphaFold and EBI/UniProt for making these data so readily available.

Contributors

We’d also like to thank the following folks who have contribute code, reported errors, and suggested changes.

• The Fried lab (broadly defined)

• Broder Schmidt

• Sean Cascarina

• Keith Cheveralls