A Control Theoretic Framework for the Analysis and Design of Biological Networks
Name
NOLCOSFinal.pdf
Size
197.12 KB
Format
Adobe PDF
Checksum (MD5)
c395218a8707852de45538dc4897f61a
Author(s)
Del Vecchio, Domitilla
Date Issued
September 2013
Journal
IFAC Proceedings Volumes
Publisher
Elsevier BV
Citation
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.
Version
Original manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3182/20130904-3-FR-2041.00128
