ArticleACS synthetic biology2022
DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron.
Article in ACS synthetic biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Supervised learning in DNA neural networks.Nature · 2025Article
- Construction of multilayered gene circuits using de-novo-designed synthetic transcriptional regulators in cell-free systems.Journal of biological engineering · 2024Article
- Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources.ACS synthetic biology · 2024Article
- Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges.ACS omega · 2024Review
- DNA as a universal chemical substrate for computing and data storage.Nature reviews. Chemistry · 2024Review
- Chemical Systems for Wetware Artificial Life: Selected Perspectives in Synthetic Cell Research.International journal of molecular sciences · 2023Article
- Deep Learning Concepts and Applications for Synthetic Biology.GEN biotechnology · 2022Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to recognize molecular patterns is essential for the continued survival of biological organisms, allowing them to sense and respond to their immediate environment. The design of synthetic gene-based classifiers has been explored previously; however, prior strategies have focused primarily on DNA strand-displacement reactions. Here, we present a synthetic in vitro transcription and translation (TXTL)-based perceptron consisting of a weighted sum operation (WSO) coupled to a downstream thresholding function. We demonstrate the application of toehold switch riboregulators to construct a TXTL-based WSO circuit that converts DNA inputs into a GFP output, the concentration of which correlates to the input pattern and the corresponding weights. We exploit the modular nature of the WSO circuit by changing the output protein to the
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