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Protein language model pseudolikelihoods capture features of in vivo B cell selection and evolution

2024-12-11

Abstract excerpt

B cell selection and evolution play crucial roles in dictating successful immune responses. Recent advancements in sequencing technologies and deep-learning strategies have paved the way for generating and exploiting an ever-growing wealth of antibody repertoire data. The self-supervised nature of protein language models (PLMs) has demonstrated the ability to learn complex representations of antibody sequences and...

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Literature Corpus work
5cc05121-aa69-5370-ae82-9fdcf68d410b
DOI
10.1101/2024.12.09.627494
Open publication

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Protein language model pseudolikelihoods capture features of in vivo B cell selection and evolutionDOI 10.1101/2024.12.09.627494
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