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Systematic Approach to Computational Design of Gene Regulatory Networks with Information Processing Capabilities

Miha Moškon and Miha Mraz (2014) Systematic Approach to Computational Design of Gene Regulatory Networks with Information Processing Capabilities. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 11 (2). pp. 431-440.

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    Abstract

    We present several measures that can be used in de novo computational design of biological systems with information processing capabilities. Their main purpose is to objectively evaluate the behavior and identify the biological information processing structures with the best dynamical properties. They can be used to define constraints that allow one to simplify the design of more complex biological systems. These measures can be applied to existent computational design approaches in synthetic biology, i.e., rational and automatic design approaches. We demonstrate their use on a) the computational models of several basic information processing structures implemented with gene regulatory networks and b) on a modular design of a synchronous toggle switch.

    Item Type: Article
    Keywords: Computational biology, computational design, gene regulatory networks, information processing, modelling and simulation, modular design, synthetic biology
    Related URLs:
    URLURL Type
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6690102&newsearch=true&queryText=mo%C5%A1konPublisher
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Structures and Systems Laboratory
    Item ID: 3149
    Date Deposited: 17 Sep 2015 10:33
    Last Modified: 17 Sep 2015 10:33
    URI: http://eprints.fri.uni-lj.si/id/eprint/3149

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