Computational Modeling of Genetic and Biochemical Networks

James M. Bower, Amid Bolouri

136 pages, parution le 02/07/2002

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Résumé

This book provides specific examples, across a wide range of molecular and cellular systems, of how modeling techniques can be used to explore functionally relevant molecular and cellular relationships. The modeling techniques covered are applicable to cell, developmental, structural, and mathematical biology; genetics; and computational neuroscience. The book, intended as a primer for both theoretical and experimental biologists, is organized in two parts: models of gene activity and models of interactions among gene products. Modeling examples are provided at several scales for each subject. Each chapter includes an overview of the biological system in question and extensive references to important work in the area.

Contents

Introduction: Understanding Living Systems
I Modeling Genetic Networks
1 Modeling the Activity of Single Genes 1
2 A Probabilistic Model of a Prokaryotic Gene and Its Regulation 49
3 A Logical Model of cis-Regulatory Control in a Eukaryotic System 73
4 Trainable Gene Regulation Networks with Application to Drosophila Pattern Formation 101
5 Genetic Network Inference in Computational Models and Applications to Large-Scale Gene Expression Data 119
II Modeling Biochemical Networks
6 Atomic-Level Simulation and Modeling of Biomacromolecules 161
7 Diffusion 189
8 Kinetic Models of Excitable Membranes and Synaptic Interactions 225
9 Stochastic Simulation of Cell Signaling Pathways 263
10 Analysis of Complex Dynamics in Cell Cycle Regulation 287
11 Simplifying and Reducing Complex Models 307
Contributors 325
Index 327

Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	James M. Bower, Amid Bolouri
Parution	02/07/2002
Nb. de pages	136
Format	18,5 x 23,7
Couverture	Relié
Poids	901g
Intérieur	Quadri
EAN13	9780262024815