aqlaboratory/openfold
A faithful but trainable PyTorch implementation of AlphaFold 2 for protein structure prediction.
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OpenFold provides a GPU-friendly, memory-efficient PyTorch reproduction of DeepMind’s AlphaFold 2, the landmark deep learning model for predicting protein 3D structures from amino acid sequences. Unlike the original, OpenFold is fully trainable, enabling researchers to fine-tune, retrain, and study the learned mechanisms of protein folding. It reproduces AlphaFold’s multi-stage architecture including evoformer blocks, structure modules, and template/search encoders.
Frequently asked
- What is aqlaboratory/openfold?
- A faithful but trainable PyTorch implementation of AlphaFold 2 for protein structure prediction.
- Is openfold open source?
- Yes — aqlaboratory/openfold is open source, released under the Apache-2.0 license.
- What language is openfold written in?
- aqlaboratory/openfold is primarily written in Python.
- How popular is openfold?
- aqlaboratory/openfold has 3.4k stars on GitHub.
- Where can I find openfold?
- aqlaboratory/openfold is on GitHub at https://github.com/aqlaboratory/openfold.