A control theoretic framework for modular analysis and design of biomolecular networks
Control theory has been instrumental for the analysis and design 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 several years, the ability of de novo...
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| Format: | Article |
| Language: | en_US |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/108595 https://orcid.org/0000-0001-6472-8576 |
| _version_ | 1811092698190315520 |
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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 analysis and design 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 several years, the ability of de novo creating biomolecular networks and of measuring key physical quantities has come to a point in which quantitative analysis and design of biological systems is possible. While a modular approach to analyze and design complex systems has proven critical in most control theory applications, it is still subject of debate whether a modular approach is viable in biomolecular networks. In fact, biomolecular networks display context-dependent behavior, that is, the input/output dynamical properties of a module change once this is part of a network. One cause of context dependence, similar to what found in many engineering systems, is retroactivity, that is, the effect of loads applied on a module by downstream systems. In this paper, we focus on retroactivity and review techniques, based on nonlinear control and dynamical systems theory, that we have developed to quantify the extent of modularity of biomolecular systems and to establish modular analysis and design techniques. |
| first_indexed | 2024-09-23T15:22:31Z |
| format | Article |
| id | mit-1721.1/108595 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:22:31Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1085952022-10-02T02:31:31Z A control theoretic framework for modular analysis and design of biomolecular networks Del Vecchio, Domitilla Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Del Vecchio, Domitilla Control theory has been instrumental for the analysis and design 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 several years, the ability of de novo creating biomolecular networks and of measuring key physical quantities has come to a point in which quantitative analysis and design of biological systems is possible. While a modular approach to analyze and design complex systems has proven critical in most control theory applications, it is still subject of debate whether a modular approach is viable in biomolecular networks. In fact, biomolecular networks display context-dependent behavior, that is, the input/output dynamical properties of a module change once this is part of a network. One cause of context dependence, similar to what found in many engineering systems, is retroactivity, that is, the effect of loads applied on a module by downstream systems. In this paper, we focus on retroactivity and review techniques, based on nonlinear control and dynamical systems theory, that we have developed to quantify the extent of modularity of biomolecular systems and to establish modular analysis and design techniques. 2017-05-02T17:38:02Z 2017-05-02T17:38:02Z 2013-10 2013-03 Article http://purl.org/eprint/type/JournalArticle 1367-5788 http://hdl.handle.net/1721.1/108595 Del Vecchio, Domitilla. “A Control Theoretic Framework for Modular Analysis and Design of Biomolecular Networks.” Annual Reviews in Control 37.2 (2013): 333–345. https://orcid.org/0000-0001-6472-8576 en_US http://dx.doi.org/10.1016/j.arcontrol.2013.09.011 Annual Reviews in Control Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier MIT Web Domain |
| spellingShingle | Del Vecchio, Domitilla A control theoretic framework for modular analysis and design of biomolecular networks |
| title | A control theoretic framework for modular analysis and design of biomolecular networks |
| title_full | A control theoretic framework for modular analysis and design of biomolecular networks |
| title_fullStr | A control theoretic framework for modular analysis and design of biomolecular networks |
| title_full_unstemmed | A control theoretic framework for modular analysis and design of biomolecular networks |
| title_short | A control theoretic framework for modular analysis and design of biomolecular networks |
| title_sort | control theoretic framework for modular analysis and design of biomolecular networks |
| url | http://hdl.handle.net/1721.1/108595 https://orcid.org/0000-0001-6472-8576 |
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