Article

Contrastive Fitness Learning: Reprogramming Protein Language Models for Low- <i>N</i> Learning of Protein Fitness Landscape

2024-02-12

Abstract excerpt

Machine learning (ML) is revolutionizing our ability to model the fitness landscape of protein sequences, which is critical to answering fundamental life science questions and addressing important protein engineering applications, such as quantifying the pathogenicity of disease variants, forecasting viral evolution in a pandemic, and engineering new antibodies. Recently, the protein language model (pLM) has emerg...

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Literature Corpus work: 35502e3c-65de-5661-81fa-e47366f5d4b2
DOI: 10.1101/2024.02.11.579859

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