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Topology Based Control of Biological Genetic Networks
Anil Aswani, Claire Tomlin

Citation
Anil Aswani, Claire Tomlin. "Topology Based Control of Biological Genetic Networks". Decision and Control, 2008. CDC 2008. 47th IEEE Conference on, 781-786, 9, December, 2008.

Abstract
The traditional controller scheme has been to input a signal into a plant, where the signal is derived from either an open-loop or a closed-loop. This control strategy requires that our plant is able to accept inputs or can be modified to do so. However, this situation is not always true in biological genetic networks; in these systems, there is often no input or obvious modification to allow inputs. Many genetic networks are different, and we believe that they require a new paradigm for control. Biotechnology techniques are such that it is easier to make topological changes to a genetic network than it is to either change the states of the pathway or add more elements to the pathway (i.e. changing the "circuit"). Thus, for such genetic networks it is important to develop a theory of control based on making large-scale changes (e.g. genetic mutations) to the topology of the network. We highlight some useful results from monotone and hybrid systems theory, and show how these results can be used for such a topological controller scheme. We consider the cancer-related, p53 pathway as an example. We analyze the system using control theory and devise a controller.

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Citation formats  
  • HTML
    Anil Aswani, Claire Tomlin. <a
    href="http://chess.eecs.berkeley.edu/pubs/450.html"
    >Topology Based Control of Biological Genetic
    Networks</a>, Decision and Control, 2008. CDC 2008.
    47th IEEE Conference on, 781-786, 9, December, 2008.
  • Plain text
    Anil Aswani, Claire Tomlin. "Topology Based Control of
    Biological Genetic Networks". Decision and Control,
    2008. CDC 2008. 47th IEEE Conference on, 781-786, 9,
    December, 2008.
  • BibTeX
    @inproceedings{AswaniTomlin08_TopologyBasedControlOfBiologicalGeneticNetworks,
        author = {Anil Aswani and Claire Tomlin},
        title = {Topology Based Control of Biological Genetic
                  Networks},
        booktitle = {Decision and Control, 2008. CDC 2008. 47th IEEE
                  Conference on},
        pages = {781-786},
        day = {9},
        month = {December},
        year = {2008},
        abstract = {The traditional controller scheme has been to
                  input a signal into a plant, where the signal is
                  derived from either an open-loop or a closed-loop.
                  This control strategy requires that our plant is
                  able to accept inputs or can be modified to do so.
                  However, this situation is not always true in
                  biological genetic networks; in these systems,
                  there is often no input or obvious modification to
                  allow inputs. Many genetic networks are different,
                  and we believe that they require a new paradigm
                  for control. Biotechnology techniques are such
                  that it is easier to make topological changes to a
                  genetic network than it is to either change the
                  states of the pathway or add more elements to the
                  pathway (i.e. changing the "circuit"). Thus, for
                  such genetic networks it is important to develop a
                  theory of control based on making large-scale
                  changes (e.g. genetic mutations) to the topology
                  of the network. We highlight some useful results
                  from monotone and hybrid systems theory, and show
                  how these results can be used for such a
                  topological controller scheme. We consider the
                  cancer-related, p53 pathway as an example. We
                  analyze the system using control theory and devise
                  a controller.},
        URL = {http://chess.eecs.berkeley.edu/pubs/450.html}
    }
    

Posted by Anil Aswani on 23 Jun 2008.
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