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Zero-shot biological reasoning with open-weights large language models reproduces CRISPR screen based prediction of synthetic lethal interactions

2026-01-30

Abstract excerpt

<h4>ABSTRACT</h4> Identifying clinically relevant synthetic lethal interactions has great potential for uncovering novel therapeutic vulnerabilities in cancer. Current approaches rely on machine learning models that estimate probabilities of synthetic lethal interactions, without supplying explicit knowledge of the underlying biology and lack the human-readable interpretation leading to the prediction. Large Lang...

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Literature Corpus work
27bf9cf5-0152-5f98-87e2-ba56095bd1b0
DOI
10.64898/2026.01.28.702211
Open publication

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Zero-shot biological reasoning with open-weights large language models reproduces CRISPR screen based prediction of synthetic lethal interactionsDOI 10.64898/2026.01.28.702211
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