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Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification

2025-07-30

Abstract excerpt

Base editing shows great potential in research and clinical applications. Current iterations of the deaminases used to create precise single-nucleotide changes via base editing exhibit undesirable effects, including off-targeting, off-base editing, and bystander editing. Current deaminases are derived from either larger eukaryotic deaminases, which exhibit high levels of Cas-independent DNA targeting, or from evol...

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Literature Corpus work
4dfb8f2b-3cd5-506f-ab26-c3c982c439b7
DOI
10.1101/2025.07.25.666807
Open publication

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Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round DiversificationDOI 10.1101/2025.07.25.666807
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