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Article

Efficient evolution of human antibodies from general protein language models.

Nature biotechnology - 1 Feb 2024

Hie Brian L, Shanker Varun R, Xu Duo, Bruun Theodora U J, Weidenbacher Payton A, Tang Shaogeng, Wu Wesley, Pak John E, Kim Peter S

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 guide artificial evolution. Here we report that general protein language models can efficiently evolve human antibodies by suggesting mutations that are evolutionarily plausible, despite providing the model with no information about the target...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 37095349
DOI: 10.1038/s41587-023-01763-2
PMCID: PMC10869273

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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