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Updated: Mar 14, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
Published on: March 13, 2017
Decoding and deciphering a subcellular ZIP code system
Alexander M Ille1, Christopher Markosian1, Renata Pasqualini1
1Rutgers Cancer Institute, Newark, NJ, USA; Division of Cancer Biology, Department of Radiation Oncology, Rutgers New Jersey Medical School, Newark, NJ, USA.
Abstract:
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.
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