Article

Mechanistic machine learning enables interpretable and generalizable prediction of prime editing outcomes

2026-02-20

Abstract excerpt

Although prime editing (PE) can effect virtually any specified local change to genomic DNA in living systems, its efficient application currently requires extensive optimization of prime editing guide RNA (pegRNA) sequences. We present OptiPrime, a machine learning model of PE efficiency based on our current understanding of the mechanism of prime editing. OptiPrime achieves state-of-the-art accuracy on PE efficie...

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Literature Corpus work: 377d7b9a-cb4e-5f12-8714-1ac6580ffb88
DOI: 10.64898/2026.02.20.706353

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