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Article

Efficient evolution of human antibodies from general protein language models and sequence information alone

2022-04-11

Abstract excerpt

Natural evolution must explore a vast landscape of possible sequences for desirable yet rare mutations, suggesting that learning from natural evolutionary strategies could accelerate artificial evolution. Here, we report that deep learning algorithms known as protein language models can evolve human antibodies with high efficiency, despite providing the models with no information about the target antigen, binding...

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Identifiers and source

Literature Corpus work
aff70ce0-f362-59ec-b4da-4d6dab684a6b
DOI
10.1101/2022.04.10.487811
Open publication

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Efficient evolution of human antibodies from general protein language models and sequence information aloneDOI 10.1101/2022.04.10.487811
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