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Let a 735 million parameter language model dream up new sequences and predict their structures using AlphaFold.
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Let a 735 million parameter language model dream up new sequences and predict their structures using AlphaFold.
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Note that only a basic AlphaFold pipeline is used with no refinement using Amber and no MSA as input (single sequence mode).
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The code in `app.py` is licensed under MIT license, the AlphaFold code is licensed under Apache2 license by Deepmind, the AlphaFold parameters are available under CC BY 4.0 by Deepmind. protGPT2 by Ferruz et. al.
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