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Control Design for Signal Transduction Networks
Signal transduction networks of biological systems are highly complex. How to mathematically describe a signal transduction network by systematic approaches to further develop an appropriate and effective control strategy is attractive to control engineers. In this paper, the synergism and saturatio...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684693/ https://www.ncbi.nlm.nih.gov/pubmed/20072602 |
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author | Lin, Chun-Liang Liu, Yuan-Wei Chuang, Chia-Hua |
author_facet | Lin, Chun-Liang Liu, Yuan-Wei Chuang, Chia-Hua |
author_sort | Lin, Chun-Liang |
collection | PubMed |
description | Signal transduction networks of biological systems are highly complex. How to mathematically describe a signal transduction network by systematic approaches to further develop an appropriate and effective control strategy is attractive to control engineers. In this paper, the synergism and saturation system (S-systems) representations are used to describe signal transduction networks and a control design idea is presented. For constructing mathematical models, a cascaded analysis model is first proposed. Dynamic analysis and controller design are simulated and verified. |
format | Text |
id | pubmed-2684693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-26846932010-01-21 Control Design for Signal Transduction Networks Lin, Chun-Liang Liu, Yuan-Wei Chuang, Chia-Hua Bioinform Biol Insights Original Research Signal transduction networks of biological systems are highly complex. How to mathematically describe a signal transduction network by systematic approaches to further develop an appropriate and effective control strategy is attractive to control engineers. In this paper, the synergism and saturation system (S-systems) representations are used to describe signal transduction networks and a control design idea is presented. For constructing mathematical models, a cascaded analysis model is first proposed. Dynamic analysis and controller design are simulated and verified. Libertas Academica 2009-02-09 /pmc/articles/PMC2684693/ /pubmed/20072602 Text en Copyright © 2009 The authors. http://creativecommons.org/licenses/by/2.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/2.0/). |
spellingShingle | Original Research Lin, Chun-Liang Liu, Yuan-Wei Chuang, Chia-Hua Control Design for Signal Transduction Networks |
title | Control Design for Signal Transduction Networks |
title_full | Control Design for Signal Transduction Networks |
title_fullStr | Control Design for Signal Transduction Networks |
title_full_unstemmed | Control Design for Signal Transduction Networks |
title_short | Control Design for Signal Transduction Networks |
title_sort | control design for signal transduction networks |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684693/ https://www.ncbi.nlm.nih.gov/pubmed/20072602 |
work_keys_str_mv | AT linchunliang controldesignforsignaltransductionnetworks AT liuyuanwei controldesignforsignaltransductionnetworks AT chuangchiahua controldesignforsignaltransductionnetworks |