Article

An unsupervised framework for comparing SARS-CoV-2 protein sequences using LLMs

2024-12-17

Abstract excerpt

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic led to 700 million infections and 7 million deaths worldwide. While studying these viruses, scientists developed a large amount of sequencing data that was made available to researchers. Large language models (LLMs) are pre-trained on large databases of proteins and prior work has shown its use in studying the structure and function of prote...

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Literature Corpus work: 4cf9cf7b-6bb6-5d91-b504-be0c71f2d613
DOI: 10.1101/2024.12.16.628708

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