RosettaCommons/RoseTTAFold
A deep learning system for predicting protein structures and interactions using a 3-track neural network architecture.
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This package implements RoseTTAFold, a deep learning model for accurate prediction of protein structures and protein-protein interactions. It uses a 3-track network architecture that integrates sequence, structure, and evolutionary information. The system requires downloading protein sequence databases (UniRef30, BFD), trained model weights, and third-party software to run inference for protein structure prediction tasks.
Frequently asked
- What is RosettaCommons/RoseTTAFold?
- A deep learning system for predicting protein structures and interactions using a 3-track neural network architecture.
- Is RoseTTAFold open source?
- Yes — RosettaCommons/RoseTTAFold is open source, released under the MIT license.
- What language is RoseTTAFold written in?
- RosettaCommons/RoseTTAFold is primarily written in Python.
- How popular is RoseTTAFold?
- RosettaCommons/RoseTTAFold has 2.2k stars on GitHub.
- Where can I find RoseTTAFold?
- RosettaCommons/RoseTTAFold is on GitHub at https://github.com/RosettaCommons/RoseTTAFold.