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A synthetic protein-level neural network in mammalian cells.

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  • معلومة اضافية
    • المصدر:
      Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE
    • بيانات النشر:
      Publication: : Washington, DC : American Association for the Advancement of Science
      Original Publication: New York, N.Y. : [s.n.] 1880-
    • الموضوع:
    • نبذة مختصرة :
      Artificial neural networks provide a powerful paradigm for nonbiological information processing. To understand whether similar principles could enable computation within living cells, we combined de novo-designed protein heterodimers and engineered viral proteases to implement a synthetic protein circuit that performs winner-take-all neural network classification. This "perceptein" circuit combines weighted input summation through reversible binding interactions with self-activation and mutual inhibition through irreversible proteolytic cleavage. These interactions collectively generate a large repertoire of distinct protein species stemming from up to eight coexpressed starting protein species. The complete system achieves multi-output signal classification with tunable decision boundaries in mammalian cells and can be used to conditionally control cell death. These results demonstrate how engineered protein-based networks can enable programmable signal classification in living cells.
    • Comments:
      Comment in: Science. 2024 Dec 13;386(6727):1225-1226. doi: 10.1126/science.adu1327. (PMID: 39666818)
    • الرقم المعرف:
      0 (Recombinant Fusion Proteins)
      EC 3.4.- (Viral Proteases)
    • الموضوع:
      Date Created: 20241212 Date Completed: 20241212 Latest Revision: 20241216
    • الموضوع:
      20241217
    • الرقم المعرف:
      10.1126/science.add8468
    • الرقم المعرف:
      39666795