A Control Theoretic Framework for the Analysis and Design of Biological Networks
Control theory has been instrumental for the development of a number of engineering systems, including aerospace and transportation systems, robotics and intelligent machines, manufacturing chains, electrical, power, and information networks. In the past decade, the ability of engineering biomolecul...
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| Format: | Article |
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Elsevier BV
2018
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| Online Access: | http://hdl.handle.net/1721.1/119012 https://orcid.org/0000-0001-6472-8576 |
| _version_ | 1826214284588220416 |
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| author | Del Vecchio, Domitilla |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Del Vecchio, Domitilla |
| author_sort | Del Vecchio, Domitilla |
| collection | MIT |
| description | Control theory has been instrumental for the development of a number of engineering systems, including aerospace and transportation systems, robotics and intelligent machines, manufacturing chains, electrical, power, and information networks. In the past decade, the ability of engineering biomolecular networks has become a reality in the rising field of synthetic biology. Biomolecular networks are composed of repression and activation interactions among genes, proteins, and small signaling molecules, and have the potential of implementing arbitrarily complex functions. While modular analysis and design is a promising approach to engineer complex networks, it is still subject of debate whether a modular approach is viable in biomolecular systems. The dynamics of these networks are highly nonlinear and therefore addressing this question requires the use of tools from nonlinear control theory. Here, we review some of the techniques that we have been developing in order to analyze and design biomolecular networks modularly. |
| first_indexed | 2024-09-23T16:02:52Z |
| format | Article |
| id | mit-1721.1/119012 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:02:52Z |
| publishDate | 2018 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1190122024-07-15T17:44:37Z A Control Theoretic Framework for the Analysis and Design of Biological Networks Del Vecchio, Domitilla Massachusetts Institute of Technology. Department of Mechanical Engineering Del Vecchio, Domitilla Control theory has been instrumental for the development of a number of engineering systems, including aerospace and transportation systems, robotics and intelligent machines, manufacturing chains, electrical, power, and information networks. In the past decade, the ability of engineering biomolecular networks has become a reality in the rising field of synthetic biology. Biomolecular networks are composed of repression and activation interactions among genes, proteins, and small signaling molecules, and have the potential of implementing arbitrarily complex functions. While modular analysis and design is a promising approach to engineer complex networks, it is still subject of debate whether a modular approach is viable in biomolecular systems. The dynamics of these networks are highly nonlinear and therefore addressing this question requires the use of tools from nonlinear control theory. Here, we review some of the techniques that we have been developing in order to analyze and design biomolecular networks modularly. 2018-11-14T18:51:29Z 2018-11-14T18:51:29Z 2013-09 2018-11-09T19:24:17Z Article http://purl.org/eprint/type/JournalArticle 14746670 http://hdl.handle.net/1721.1/119012 Del Vecchio, Domitilla. “A Control Theoretic Framework for the Analysis and Design of Biological Networks.” IFAC Proceedings Volumes, vol. 46, no. 23, 2013, pp. 731–36. https://orcid.org/0000-0001-6472-8576 http://dx.doi.org/10.3182/20130904-3-FR-2041.00128 IFAC Proceedings Volumes Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV MIT Web Domain |
| spellingShingle | Del Vecchio, Domitilla A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title | A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title_full | A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title_fullStr | A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title_full_unstemmed | A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title_short | A Control Theoretic Framework for the Analysis and Design of Biological Networks |
| title_sort | control theoretic framework for the analysis and design of biological networks |
| url | http://hdl.handle.net/1721.1/119012 https://orcid.org/0000-0001-6472-8576 |
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