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Global Entrainment of Transcriptional Systems to Periodic Inputs
This paper addresses the problem of providing mathematical conditions that allow one to ensure that biological networks, such as transcriptional systems, can be globally entrained to external periodic inputs. Despite appearing obvious at first, this is by no means a generic property of nonlinear dyn...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2855316/ https://www.ncbi.nlm.nih.gov/pubmed/20418962 http://dx.doi.org/10.1371/journal.pcbi.1000739 |
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author | Russo, Giovanni di Bernardo, Mario Sontag, Eduardo D. |
author_facet | Russo, Giovanni di Bernardo, Mario Sontag, Eduardo D. |
author_sort | Russo, Giovanni |
collection | PubMed |
description | This paper addresses the problem of providing mathematical conditions that allow one to ensure that biological networks, such as transcriptional systems, can be globally entrained to external periodic inputs. Despite appearing obvious at first, this is by no means a generic property of nonlinear dynamical systems. Through the use of contraction theory, a powerful tool from dynamical systems theory, it is shown that certain systems driven by external periodic signals have the property that all their solutions converge to a fixed limit cycle. General results are proved, and the properties are verified in the specific cases of models of transcriptional systems as well as constructs of interest in synthetic biology. A self-contained exposition of all needed results is given in the paper. |
format | Text |
id | pubmed-2855316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28553162010-04-23 Global Entrainment of Transcriptional Systems to Periodic Inputs Russo, Giovanni di Bernardo, Mario Sontag, Eduardo D. PLoS Comput Biol Research Article This paper addresses the problem of providing mathematical conditions that allow one to ensure that biological networks, such as transcriptional systems, can be globally entrained to external periodic inputs. Despite appearing obvious at first, this is by no means a generic property of nonlinear dynamical systems. Through the use of contraction theory, a powerful tool from dynamical systems theory, it is shown that certain systems driven by external periodic signals have the property that all their solutions converge to a fixed limit cycle. General results are proved, and the properties are verified in the specific cases of models of transcriptional systems as well as constructs of interest in synthetic biology. A self-contained exposition of all needed results is given in the paper. Public Library of Science 2010-04-15 /pmc/articles/PMC2855316/ /pubmed/20418962 http://dx.doi.org/10.1371/journal.pcbi.1000739 Text en Russo et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Russo, Giovanni di Bernardo, Mario Sontag, Eduardo D. Global Entrainment of Transcriptional Systems to Periodic Inputs |
title | Global Entrainment of Transcriptional Systems to Periodic Inputs |
title_full | Global Entrainment of Transcriptional Systems to Periodic Inputs |
title_fullStr | Global Entrainment of Transcriptional Systems to Periodic Inputs |
title_full_unstemmed | Global Entrainment of Transcriptional Systems to Periodic Inputs |
title_short | Global Entrainment of Transcriptional Systems to Periodic Inputs |
title_sort | global entrainment of transcriptional systems to periodic inputs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2855316/ https://www.ncbi.nlm.nih.gov/pubmed/20418962 http://dx.doi.org/10.1371/journal.pcbi.1000739 |
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