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Leveraging protein language models and scoring function for Indel characterisation and transfer learning

2025-03-14

Abstract excerpt

1. Protein language models (PLMs) are increasingly used to assess the impact of genetic variation on proteins. By leveraging sequence information alone, PLMs achieve high performance and accuracy and can outperform traditional pathogenicity predictors specifically designed to identify harmful variants contributing to diseases. PLMs can perform zero-shot inference, making predictions without task-specific fine-tuni...

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Literature Corpus work
bbf74e34-d80a-5a47-b0e5-d2fbbf6622b3
DOI
10.1101/2025.03.12.642715
Open publication

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Leveraging protein language models and scoring function for Indel characterisation and transfer learningDOI 10.1101/2025.03.12.642715
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