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  • 1.
    Andersson, Tom
    Stockholm University, Faculty of Science, Department of Mathematics.
    Exploring voltage-dependent ion channels in silico by hysteretic conductance2010In: Mathematical Biosciences, ISSN 0025-5564, E-ISSN 1879-3134, Vol. 226, no 1, p. 16-27Article in journal (Refereed)
    Abstract [en]

    Kinetic models of voltage-dependent ion channels are normally inferred from time records of macroscopic current relaxation or microscopic single channel data. A complementary explorative approach is outlined. Hysteretic conductance refers to conductance delays in response to voltage changes, delays at either macroscopic or microscopic levels of observation. It enables complementary assessments of model assumptions and gating schemes of voltage-dependent channels, e.g. independent versus cooperative gating, and multiple gating modes. Under the Hodgkin-Huxley condition of independent gating, and under ideal measurement conditions, hysteretic conductance makes it also possible to estimate voltage-dependent rate functions. The argument is mainly theoretical, based on experimental observations, and illustrated by simulations of Markov kinetic models.

  • 2.
    Andersson, Tom
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Advertising and Public Relations.
    Hjalmarson, Hanna
    Stockholm University, Faculty of Social Sciences, Department of Advertising and Public Relations.
    Från högtid till måltid: Uppföljning och utvärdering av aktiviteten Valinformation inom ramen för regeringens demokratisatsning 20062007Report (Other academic)
    Abstract [sv]

    Rapporten beskriver arbetet med och resultaten av regeringens satsning inför valet 2006 att med hjälp av lokala föreningar sprida valinformation till medborgarna i de tolv kommuner där valdeltagandet var som lägst 2002.

    Studien bygger på en enkätundersökning av unga väljare i berörda kommuner, telefonintervjuer med ett randomiserat urval av deltagande föreningar, samt hearings och intervjuer med kommunernas och regeringens representanter.

    Projektet utmynnade i en mängd intressanta samarbetsprojekt, där nyckeln till framgång ofta var att föreningarna ägnade sig åt redan beprövade aktiviteter samtidigt som de spred valinformation till sina medlemmar, deras vänner och bekanta. Detta kunde t ex vara fester (därav titeln "Från högtid till måltid"), idrottsevenemang eller studiecirklar.

    Genom att engagera lokala föreningar kunde man avdramatisera valet och göra valdeltagandet mer naturligt och mindre skrämmande. Trots att satsningen fick effekt på själva valdeltagandet i bara ungefär hälften av fallen fick föreningsaktiviteterna många andra positiva effekter för deltagarna och ökade deras medvetenhet och kunskaper om den svenska politiken.

  • 3.
    Eriksson, Olivia
    et al.
    Stockholm University, Faculty of Science, Department of Mathematics.
    Andersson, Tom
    Stockholm University, Faculty of Science, Department of Mathematics.
    Zhou, Yishao
    Stockholm University, Faculty of Science, Department of Mathematics.
    Tegner, Jesper
    Decoding complex biological networks - tracing essential and modulatory parameters in complex and simplified models of the cell cycle2011In: BMC Systems Biology, ISSN 1752-0509, E-ISSN 1752-0509, Vol. 5, p. 123-Article in journal (Refereed)
    Abstract [en]

    Background: One of the most well described cellular processes is the cell cycle, governing cell division. Mathematical models of this gene-protein network are therefore a good test case for assessing to what extent we can dissect the relationship between model parameters and system dynamics. Here we combine two strategies to enable an exploration of parameter space in relation to model output. A simplified, piecewise linear approximation of the original model is combined with a sensitivity analysis of the same system, to obtain and validate analytical expressions describing the dynamical role of different model parameters. Results: We considered two different output responses to parameter perturbations. One was qualitative and described whether the system was still working, i.e. whether there were oscillations. We call parameters that correspond to such qualitative change in system response essential. The other response pattern was quantitative and measured changes in cell size, corresponding to perturbations of modulatory parameters. Analytical predictions from the simplified model concerning the impact of different parameters were compared to a sensitivity analysis of the original model, thus evaluating the predictions from the simplified model. The comparison showed that the predictions on essential and modulatory parameters were satisfactory for small perturbations, but more discrepancies were seen for larger perturbations. Furthermore, for this particular cell cycle model, we found that most parameters were either essential or modulatory. Essential parameters required large perturbations for identification, whereas modulatory parameters were more easily identified with small perturbations. Finally, we used the simplified model to make predictions on critical combinations of parameter perturbations. Conclusions: The parameter characterizations of the simplified model are in large consistent with the original model and the simplified model can give predictions on critical combinations of parameter perturbations. We believe that the distinction between essential and modulatory perturbation responses will be of use for sensitivity analysis, and in discussions of robustness and during the model simplification process.

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