Computational Modeling of Genetic and Biochemical Networks

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The advent of ever more sophisticated molecular manipulation techniques has made it clear that cellular systems are far more complex and dynamic than previously thought. At the same time, experimental techniques are providing an almost overwhelming amount of new data. It is increasingly apparent that linking molecular and cellular structure to function will require the use of new computational tools. 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.

Author(s): James M. Bower, Hamid Bolouri
Series: Computational Molecular Biology
Publisher: MIT Press
Year: 2004

Language: English
Commentary: Single-file version with bookmarks
Pages: 360

Part I. Modeling Genetic Networks
Chapter 1. Modeling the Activity of Single Genes
Chapter 2. A Probabilistic Model of a Prokaryotic Gene and Its Regulation
Chapter 3. A Logical Model of cis-Regulatory Control in a Eukaryotic System
Chapter 4. Trainable Gene Regulation Networks with Application to Drosophila Pattern Formation
Chapter 5. Genetic Network Inference in Computational Models and Applications to Large-Scale Gene Expression Data
Part II. Modeling Biochemical Networks
Chapter 6. Atomic-Level Simulation and Modeling of Biomacromolecules
Chapter 7. Diffusion
Chapter 8. Kinetic Models of Excitable Membranes and Synaptic Interactions
Chapter 9. Stochastic Simulation of Cell Signaling Pathways
Chapter 10. Analysis of Complex Dynamics in Cell Cycle Regulation
Chapter 11. Simplifying and Reducing Complex Models