ArticleScience (New York, N.Y.)2024
A synthetic protein-level neural network in mammalian cells.
Article in Science (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- GenAI-Net: A generative AI framework for automated biomolecular network design.Science advances · 2026Article
- Directed evolution of functional intrinsically disordered proteins.Nature chemical biology · 2026Article
- Programmable DNA-Based Dimerization Networks for Dynamic and Competitive Control of Transcription.Journal of the American Chemical Society · 2026Article
- Design and optimization of a kinase-controlled allosteric switch.Nature methods · 2026Article
- Protein design and RNA design: Perspectives.Quantitative biology (Beijing, China) · 2026Article
- Gene regulatory networks: from correlative models to causal explanations.Nature reviews. Genetics · 2026Review
- Synthetic circuits for cell ratio control.Nature · 2026Article
- Artificial allosteric protein switches with machine-learning-designed receptors.Nature biotechnology · 2026Article
- Protecting cells at the genetic level and simulating unauthorized access via a biohackathon.Science advances · 2026Article
- Review
- Noise-Guided Design of Synthetic Protein Waves in Living Cells.ACS synthetic biology · 2026Article
- Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026Article
- Theoretical limits for sensing through phase separation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A recursive enzymatic competition network capable of multitask molecular information processing.Nature chemistry · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Integrating synthetic biology to understand and engineer the heart, lung, blood, and sleep systems.Cell systems · 2025Review
- Engineering development: From the repressilator and toggle switch to synthetic developmental biology.Developmental biology · 2025Review
- Supervised learning in DNA neural networks.Nature · 2025Article
- Limits on the computational expressivity of non-equilibrium biophysical processes.Nature communications · 2025Article
- Pattern recognition in living cells through the lens of machine learning.Open biology · 2025Review
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Authors and funding
8 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.