1.

Record Nr.

UNINA9910777516703321

Titolo

System modeling in cell biology : from concepts to nuts and bolts / / edited by Zoltan Szallasi, Jörg Stelling, Vipul Periwal

Pubbl/distr/stampa

Cambridge, Mass., : MIT Press, ©2006

ISBN

0-262-25706-8

1-282-09679-6

9786612096792

1-4237-7254-7

Descrizione fisica

1 online resource (465 p.)

Altri autori (Persone)

SzallasiZoltan

StellingJörg

PeriwalVipul

Disciplina

571.601/1

Soggetti

Cytology - Data processing

Cytology - Mathematical models

Cytology - Computer simulation

Biological systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"A Bradford book."

Nota di bibliografia

Includes bibliographical references (p. [385]-433) and index.

Nota di contenuto

Contents; Preface; I GENERAL CONCEPTS; 1 The Role of Modeling in Systems Biology; 2 Complexity and Robustness of Cellular Systems; 3 On Modules and Modularity; II MODELING APPROACHES; 4 Bayesian Inference of Biological Systems: The Logic of Biology; 5 Stoichiometric and Constraint-based Modeling; 6 Modeling Molecular Interaction Networks with Nonlinear Ordinary Differential Equations; 7 Qualitative Approaches to the Analysis of Genetic Regulatory Networks; 8 Stochastic Modeling of Intracellular Kinetics; 9 Kinetics in Spatially Extended Systems; III MODELS AND REALITY

10 Biological Data Acquisition for System Level Modeling-An Exercise in the Art of Compromise11 Methods to Identify Cellular Architecture and Dynamics from Experimental Data; 12 Using Control Theory to Study Biology*; 13 Synthetic Gene Regulatory Systems; 14 Multilevel Modeling in Systems Biology: From Cells to Whole Organs; IV COMPUTATIONAL MODELING; 15 Computational Constraints on Modeling in Systems



Biology; 16 Numerical Simulation for Biochemical Kinetics; 17 Software Infrastructure for Effective Communication and Reuse of Computational Models; A  Software Tools for Biological Modeling

ReferencesContributors; Index

Sommario/riassunto

This is an introduction and overview of system modelling in biology that is accessible to researchers from different fields including biology, computer science, mathematics, statistics physics, and biochemistry.