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Decoding and deciphering a subcellular ZIP code system
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DOI：10.1016/j.tcb.2026.02.001.png)
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Abstract
En 中文
Proteins contain unique sequences that direct localization within cells, forming a subcellular ‘ZIP code’ system. Kilgore et al. recently developed an artificial intelligence/machine learning (AI/ML) approach for predicting protein subcellular localization. Internalizing phage display, together with other current experimental methods, may be applicable alongside AI/ML approaches for profiling the subcellular ZIP code system.
Keywords:
protein subcellular localization
artificial intelligence
machine learning
phage display
ZIP code system
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