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Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity

Recent experimental breakthroughs have finally allowed to implement in-vitro reaction kinetics (the so called enzyme based logic) which code for two-inputs logic gates and mimic the stochastic AND (and NAND) as well as the stochastic OR (and NOR). This accomplishment, together with the already-known...

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Autores principales: Agliari, Elena, Altavilla, Matteo, Barra, Adriano, Dello Schiavo, Lorenzo, Katz, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386197/
https://www.ncbi.nlm.nih.gov/pubmed/25976626
http://dx.doi.org/10.1038/srep09415
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author Agliari, Elena
Altavilla, Matteo
Barra, Adriano
Dello Schiavo, Lorenzo
Katz, Evgeny
author_facet Agliari, Elena
Altavilla, Matteo
Barra, Adriano
Dello Schiavo, Lorenzo
Katz, Evgeny
author_sort Agliari, Elena
collection PubMed
description Recent experimental breakthroughs have finally allowed to implement in-vitro reaction kinetics (the so called enzyme based logic) which code for two-inputs logic gates and mimic the stochastic AND (and NAND) as well as the stochastic OR (and NOR). This accomplishment, together with the already-known single-input gates (performing as YES and NOT), provides a logic base and paves the way to the development of powerful biotechnological devices. However, as biochemical systems are always affected by the presence of noise (e.g. thermal), standard logic is not the correct theoretical reference framework, rather we show that statistical mechanics can work for this scope: here we formulate a complete statistical mechanical description of the Monod-Wyman-Changeaux allosteric model for both single and double ligand systems, with the purpose of exploring their practical capabilities to express noisy logical operators and/or perform stochastic logical operations. Mixing statistical mechanics with logics, and testing quantitatively the resulting findings on the available biochemical data, we successfully revise the concept of cooperativity (and anti-cooperativity) for allosteric systems, with particular emphasis on its computational capabilities, the related ranges and scaling of the involved parameters and its differences with classical cooperativity (and anti-cooperativity).
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spelling pubmed-53861972017-04-14 Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity Agliari, Elena Altavilla, Matteo Barra, Adriano Dello Schiavo, Lorenzo Katz, Evgeny Sci Rep Article Recent experimental breakthroughs have finally allowed to implement in-vitro reaction kinetics (the so called enzyme based logic) which code for two-inputs logic gates and mimic the stochastic AND (and NAND) as well as the stochastic OR (and NOR). This accomplishment, together with the already-known single-input gates (performing as YES and NOT), provides a logic base and paves the way to the development of powerful biotechnological devices. However, as biochemical systems are always affected by the presence of noise (e.g. thermal), standard logic is not the correct theoretical reference framework, rather we show that statistical mechanics can work for this scope: here we formulate a complete statistical mechanical description of the Monod-Wyman-Changeaux allosteric model for both single and double ligand systems, with the purpose of exploring their practical capabilities to express noisy logical operators and/or perform stochastic logical operations. Mixing statistical mechanics with logics, and testing quantitatively the resulting findings on the available biochemical data, we successfully revise the concept of cooperativity (and anti-cooperativity) for allosteric systems, with particular emphasis on its computational capabilities, the related ranges and scaling of the involved parameters and its differences with classical cooperativity (and anti-cooperativity). Nature Publishing Group 2015-05-15 /pmc/articles/PMC5386197/ /pubmed/25976626 http://dx.doi.org/10.1038/srep09415 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Agliari, Elena
Altavilla, Matteo
Barra, Adriano
Dello Schiavo, Lorenzo
Katz, Evgeny
Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title_full Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title_fullStr Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title_full_unstemmed Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title_short Notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
title_sort notes on stochastic (bio)-logic gates: computing with allosteric cooperativity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386197/
https://www.ncbi.nlm.nih.gov/pubmed/25976626
http://dx.doi.org/10.1038/srep09415
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