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In this work we demonstrate both experimentally and theoretically that the analog noise generation by a single enzymatic logic gate can be dramatically reduced to yield gate operation with virtually no input noise amplification. This is…

Molecular Networks · Quantitative Biology 2010-10-12 Dmitriy Melnikov , Guinevere Strack , Marcos Pita , Vladimir Privman , Evgeny Katz

With the advancement of synthetic biology, several new tools have been conceptualized over the years as alternative treatments for current medical procedures. Most of those applications are applied to various chronic diseases. This work…

We consider approaches for controlling the buildup of noise by design of gates for chemical and biomolecular computing, in order to realize stable, scalable networks for multi-step information processing. Solvable rate-equation models are…

Biological Physics · Physics 2011-02-28 Vladimir Privman

Reasoning about hypotheses and updating knowledge through empirical observations are central to scientific discovery. In this work, we applied logic-based machine learning methods to drive biological discovery by guiding experimentation.…

Molecular Networks · Quantitative Biology 2025-06-09 Lun Ai , Stephen H. Muggleton , Shi-Shun Liang , Geoff S. Baldwin

Quantum Hamiltonian Computing is a recent approach that uses quantum systems, in particular a single molecule, to perform computational tasks. Within this approach, we present explicit methods to construct logic gates using two different…

Quantum Physics · Physics 2019-06-18 Omid Faizy Namarvar , Olivier Giraud , Bertrand Georgeot , Christian Joachim

We consider a realization of the XOR logic gate in a process biocatalyzed by an enzyme (here horseradish peroxidase: HRP), the function of which can be inhibited by a substrate (hydrogen peroxide for HRP), when the latter is inputted at…

Soft Condensed Matter · Physics 2011-10-05 Jan Halamek , Vera Bocharova , Mary A. Arugula , Guinevere Strack , Vladimir Privman , Evgeny Katz

Memcomputing logic gates generalize the traditional Boolean logic gates for operation in the reverse direction. According to the literature, this functionality enables the efficient solution of computationally-intensive problems including…

Emerging Technologies · Computer Science 2024-02-02 Y. V. Pershin

Recent experimental breakthroughs have finally allowed to implement in-vitro reaction kinetics (the so called {\em enzyme based logic}) which code for two-inputs logic gates and mimic the stochastic AND (and NAND) as well as the stochastic…

Disordered Systems and Neural Networks · Physics 2016-02-02 Elena Agliari , Matteo Altavilla , Adriano Barra , Lorenzo Dello Schiavo , Evgeny Katz

This paper proposes the use of Eukaryotic cells, namely astrocytes, to develop logic gates. The logic gates are achieved by manipulating the threshold of Ca$^{2+}$ ion flows between the cells, based on the input signals. Through wet-lab…

Noise-based logic, by utilizing its multidimensional logic hyperspace, has significant potential for low-power parallel operations in beyond-Moore-chips. However universal gates for Boolean logic thus far had to rely on either time…

Other Computer Science · Computer Science 2011-12-06 Ferdinand Peper , Laszlo B. Kish

With conventional silicon-based computing approaching its physical and efficiency limits, biocomputing emerges as a promising alternative. This approach utilises biomaterials such as DNA and neurons as an interesting alternative to data…

Emerging Technologies · Computer Science 2024-08-15 Giulio Basso , Reinhold Scherer , Michael Taynnan Barros

Biocomputing systems based on engineered bacteria can lead to novel tools for environmental monitoring and detection of metabolic diseases. In this paper, we propose a Bacterial Molecular Computing on a Chip (BMCoC) using microfluidic and…

The reliability of logical operations is indispensable for the reliable operation of computational systems. Since the down-sizing of micro-fabrication generates non-negligible noise in these systems, a new approach for designing…

Other Computer Science · Computer Science 2020-04-22 Tetsuya J. Kobayashi

Enzyme mining is rapidly evolving as a data-driven strategy to identify biocatalysts with tailored functions from the vast landscape of uncharacterized proteins. The integration of machine learning into these workflows enables…

Biomolecules · Quantitative Biology 2025-07-11 Yanzi Zhang , Felix Moorhoff , Sizhe Qiu , Wenjuan Dong , David Medina-Ortiz , Jing Zhao , Mehdi D. Davari

Single-cell studies often show significant phenotypic variability due to the stochastic nature of intra-cellular biochemical reactions. When the numbers of molecules, e.g., transcription factors and regulatory enzymes, are in low abundance,…

Quantitative Methods · Quantitative Biology 2015-06-17 Kyung Hyuk Kim , Hong Qian , Herbert M. Sauro

We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively parallel non-linear computers, can be realised by such an…

Emerging Technologies · Computer Science 2012-12-13 Christopher Stone , Rita Toth , Ben de Lacy Costello , Larry Bull , Andrew Adamatzky

We report the experimental verification of noise-enhanced logic behaviour in an electronic analog of a synthetic genetic network, composed of two repressors and two constitutive promoters. We observe good agreement between circuit…

Biological Physics · Physics 2014-02-19 Edward H. Hellen , Syamal K. Dana , Jurgen Kurths , Elizabeth Kehler , Sudeshna Sinha

We realize a biochemical filtering process by introducing a buffer in a biocatalytic signal-transduction logic system based on the function of an enzyme, esterase. The input, ethyl butyrate, is converted into butyric acid-the output signal,…

Soft Condensed Matter · Physics 2017-09-13 Marcos Pita , Vladimir Privman , Mary A. Arugula , Dmitriy Melnikov , Vera Bocharova , Evgeny Katz

Cooperative collective dynamics is a principal determinant of the ability of synthetic micromotors to perform specific functions. However, realizing controllable and predictable collective behavior in complex physiological environments…

Chemical Physics · Physics 2026-02-10 Jiang-Xing Chen , Jia-Qi Hu , Raymond Kapral

Information processing and decision making is based upon logic operations, which in cellular networks has been well characterized at the level of transcription. In recent years however, both experimentalists and theorists have begun to…

Molecular Networks · Quantitative Biology 2012-09-11 Wiet de Ronde , Pieter Rein ten Wolde , Andrew Mugler