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Article

Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolution

2023-12-20

Abstract excerpt

Large language models trained on sequence information alone are capable of learning high level principles of protein design. However, beyond sequence, the three-dimensional structures of proteins determine their specific function, activity, and evolvability. Here we show that a general protein language model augmented with protein structure backbone coordinates and trained on the inverse folding problem can guide...

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Literature Corpus work
df8b5b62-969f-5d22-8f4f-b3e6cda9b64c
DOI
10.1101/2023.12.19.572475
Open publication

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Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolutionDOI 10.1101/2023.12.19.572475
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