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Machine Learning and Directed Evolution of Base Editing Enzymes

2024-05-17

Abstract excerpt

As we enter the era of CRISPR medicines, base editors (BEs) emerged as one of the most promising tools to treat genetic associated diseases. However, unintended bystander editing beyond the target nucleotide poses a challenge to their translation into effective therapies. While many efforts have been made in the design of a universal enzyme with minimal bystander editing, the context dependent activity represents...

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Literature Corpus work
5eaaea42-fea7-5a47-8467-2ca593d40d68
DOI
10.1101/2024.05.17.594556
Open publication

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Machine Learning and Directed Evolution of Base Editing EnzymesDOI 10.1101/2024.05.17.594556
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