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细胞生物学系统建模(System Modeling in Cell Biology)
     
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    细胞生物学的系统建模(System Modeling in Cell Biology)

    Contents
    Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
    I GENERAL CONCEPTS 1
    1 The Role ofModeling in Systems Biology . . . . . . . . . . . . 3
    Douglas B. Kell and Joshua D. Knowles
    2 Complexity and Robustness of Cellular Systems . . . . . . . . 19
    Jörg Stelling, Uwe Sauer, Francis J. Doyle III,
    and John Doyle
    3 OnModules andModularity . . . . . . . . . . . . . . . . . . . . 41
    Zoltan Szallasi, Vipul Periwal, and Jörg Stelling
    II MODELING APPROACHES 51
    4 Bayesian Inference of Biological Systems: The Logic of Biology 53
    Vipul Periwal
    5 Stoichiometric and Constraint-basedModeling . . . . . . . . . 73

    Steffen Klamt and Jörg Stelling
    6 Modeling Molecular Interaction Networks with Nonlinear
    Ordinary Differential Equations . . . . . . . . . . . . . . . . . . 97
    Emery D. Conrad and John J. Tyson
    7 Qualitative Approaches to the Analysis of Genetic Regulatory
    Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125
    Hidde de Jong and Delphine Ropers
    8 Stochastic Modeling of Intracellular Kinetics . . . . . . . . . . 149
    Johan Paulsson and Johan Elf
    9 Kinetics in Spatially Extended Systems . . . . . . . . . . . . . 177
    Karsten Kruse and Johan El
    III MODELS AND REALITY 199
    10 Biological Data Acquisition for System Level Modeling—
    An Exercise in the Art of Compromise . . . . . . . . . . . . . . 201
    Zoltan Szallasi
    11 Methods to Identify Cellular Architecture and Dynamics from
    Experimental Data . . . . . . . . . . . . . . . . . . . . . . . . . . 221
    Rudiyanto Gunawan, Kapil G. Gadkar,
    and Francis J. Doyle III
    12 Using Control Theory to Study Biology . . . . . . . . . . . . . 243
    Brian P. Ingalls, Tau-Mu Yi, and Pablo A. Iglesias
    13 Synthetic Gene Regulatory Systems . . . . . . . . . . . . . . . 269
    Mads Kærn and Ron Weiss
    14 Multilevel Modeling in Systems Biology: From Cells to Whole
    Organs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
    Denis Noble
    IV COMPUTATIONAL MODELING 313
    15 Computational Constraints on Modeling in Systems Biology . 315
    Vipul Periwal
    16 Numerical Simulation for Biochemical Kinetics . . . . . . . . . 331
    Daniel T. Gillespie and Linda R. Petzold
    17 Software Infrastructure for Effective Communication and Reuse
    of Computational Models . . . . . . . . . . . . . . . . . . . . . . 355
    Andrew Finney, Michael Hucka, Benjamin J. Bornstein,
    Sarah M. Keating, Bruce E. Shapiro, Joanne Matthews,
    Ben L. Kovitz, Maria J. Schilstra, Akira Funahashi,
    John Doyle, and Hiroaki Kitano
    A Software Tools for BiologicalModeling . . . . . . . . . . . . . . 379
    References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385
    Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435
    Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439

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