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Naia Novy (University of Wisconsin-Madison) and colleagues published a new paper on multiobjective machine learning design of phage specificity, showing deep learning can successfully design T7 phages with precisely tuned infectivity, specificity, and generality across diverse E. coli strains. They could even make T7 have the completely opposite host range compared to wild type, just by changing up its RBP according to the ML model's suggested sequence!
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| Source | Capsid & Tail #323 |
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