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Prediction of designer-recombinases for DNA editing with generative deep learning - Nature Communications

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Prediction of designer-recombinases for DNA editing with generative deep learning - Nature Communications

Site-specific tyrosine-type recombinases are effective tools for genome engineering, with the first engineered variants having demonstrated therapeutic potential. So far, adaptation to new DNA target site selectivity of designer-recombinases has been achieved mostly through iterative cycles of directed molecular evolution. While effective, directed molecular evolution methods are laborious and time consuming.

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Prediction of designer-recombinases for DNA editing with generative deep learning - Nature Communications

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Prediction of designer-recombinases for DNA editing with generative deep learning - Nature Communications

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