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IET Systems Biology

Issue 3 • Date May 2010

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Displaying Results 1 - 6 of 6
  • Effect of swarming on biodiversity in non-symmetric rock-paper-scissor game

    Publication Year: 2010, Page(s):177 - 184
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (560 KB)

    Cyclic dominance of species is a potential mechanism for maintaining biodiversity. The author investigates the generalised scenario when the cyclic dominance of three or more interacting species is described by a non-symmetric matrix game that has multiple Nash equilibria. Modified Lotka-Volterra equations are proposed to incorporate the effects of swarming, and the condition for biodiversity is d... View full abstract»

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  • Application of graph colouring to biological networks

    Publication Year: 2010, Page(s):185 - 192
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (943 KB)

    The author explores the application of graph colouring to biological networks, specifically protein-protein interaction (PPI) networks. First, the author finds that given similar conditions (i.e. graph size, degree distribution and clustering), fewer colours are needed to colour disassortative than assortative networks. Fewer colours create fewer independent sets which in turn imply higher concurr... View full abstract»

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  • Approximating stochastic biochemical processes with wasserstein pseudometrics

    Publication Year: 2010, Page(s):193 - 211
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (1096 KB)

    Modelling stochastic processes inside the cell is difficult due to the size and complexity of the processes being investigated. As a result, new approaches are needed to address the problems of model reduction, parameter estimation, model comparison and model invalidation. Here, the authors propose addressing these problems by using Wasserstein pseudometrics to quantify the differences between pro... View full abstract»

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  • Prioritisation of associations between protein domains and complex diseases using domain-domain interaction networks

    Publication Year: 2010, Page(s):212 - 222
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (397 KB)

    It is of vital importance to find genetic variants that underlie human complex diseases and locate genes that are responsible for these diseases. Since proteins are typically composed of several structural domains, it is reasonable to assume that harmful genetic variants may alter structures of protein domains, affect functions of proteins and eventually cause disorders. With this understanding, t... View full abstract»

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  • Determining the distance to monotonicity of a biological network: a graph-theoretical approach

    Publication Year: 2010, Page(s):223 - 235
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (542 KB)

    The authors use ideas from graph theory in order to determine how distant is a given biological network from being monotone. On the signed graph representing the system, the minimal number of sign inconsistencies (i.e. the distance to monotonicity) is shown to be equal to the minimal number of fundamental cycles having a negative sign. Suitable operations aiming at computing such a number are also... View full abstract»

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  • Multi-objective mixed integer strategy for the optimisation of biological networks

    Publication Year: 2010, Page(s):236 - 248
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (584 KB)

    In this contribution, the authors consider multi-criteria optimisation problems arising from the field of systems biology when both continuous and integer decision variables are involved. Mathematically, they are formulated as mixed-integer non-linear programming problems. The authors present a novel solution strategy based on a global optimisation approach for dealing with this class of problems.... View full abstract»

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IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches.

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