DNA Input Classification by a Riboregulator-Based Cell-Free Perceptron.

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

SUBMITTER: van der Linden AJ 

PROVIDER: S-EPMC9016768 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature