LucidProts

This is the repository for LucidProts presented at the ISCB/ECCB 2023. We investigated the suitablity of Diffusion Language Models for controlled protein sequence design conditioned. We leveraged the inverse folding problem for this proof-of-concept work.

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Authors:

Adrian Henkel, Kyra Erckert, Burkhard Rost and Michael Heinzinger

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Resources:

• Model
• Tokenized Dataset
• Tokenizer

Poster