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Valuable phages have good shelf-life properties, but how can we reliably characterize the structural parts of the phage particle? Tze Thung (Centre to Impact AMR, Monash University) and colleagues published a new mSystems paper on their new machine-learning approach and prediction tool, STEP3, to define the component parts of phage virions. For a nice bite-sized walk-through, see this Twitter thread by @CentreImpactAMR.

SourceCapsid & Tail #129