Prediction of designer-recombinases for DNA editing with generative deep learning
Design of recombinases with new target sites is usually achieved through cycles of directed molecular evolution. Here the authors report Recombinase Generator, RecGen, an algorithm for generation of designer-recombinases; they perform experimental validation to show that this can predict recombinase...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-12-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-35614-6 |