Enzymatic Logic Gates with Noise-Reducing Sigmoid Response
Valber Pedrosa, Dmitriy Melnikov, Marcos Pita, Jan Halamek, Vladimir, Privman, Aleksandr Simonian, Evgeny Katz

TL;DR
This paper reviews biochemical filtering and reports an enzymatic AND logic gate with a sigmoid response, demonstrating noise reduction in biochemical computing using enzyme-catalyzed reactions.
Contribution
It presents the experimental realization of a biochemical AND logic gate with sigmoid response and a kinetic model to evaluate its performance relative to optimal noise reduction.
Findings
Successful implementation of an enzyme-based AND gate with sigmoid response
Kinetic modeling to assess gate performance
Potential for noise reduction in biochemical computing
Abstract
Biochemical computing is an emerging field of unconventional computing that attempts to process information with biomolecules and biological objects using digital logic. In this work we survey filtering in general, in biochemical computing, and summarize the experimental realization of an AND logic gate with sigmoid response in one of the inputs. The logic gate is realized with electrode-immobilized glucose-6-phosphate dehydrogenase enzyme that catalyzes a reaction corresponding to the Boolean AND functions. A kinetic model is also developed and used to evaluate the extent to which the performance of the experimentally realized logic gate is close to optimal.
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Taxonomy
TopicsGene Regulatory Network Analysis · Neuroscience and Neural Engineering · Advanced biosensing and bioanalysis techniques
