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Bibliographic Information

E-cell system : basic concepts and applications

Satya Nanda Vel Arjunan, Pawan K. Dhar, Masaru Tomita

(Molecular biology intelligence unit)

Landes Bioscience , Springer Science+Business Media, 2013

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Includes bibliographical references and index

Description and Table of Contents

Description

The interdisciplinary field of molecular systems biology aims to understand the behavior and mechanisms of biological processes composed of individual molecular components. As we gain more qualitative and quantitative information of complex intracellular processes, biochemical modeling and simulation become indispensable not only to uncover the molecular mechanisms of the processes, but to perform useful predictions. To this end, the E-Cell System, a multi-algorithm, multi-timescale object-oriented simulation platform, can be used to construct predictive virtual biological systems. Gene regulatory and biochemical networks that constitute a sub- or a whole cellular system can be constructed using the E-Cell System to perform qualitative and quantitative analyses. The purpose of E-Cell System: Basic Concepts and Applications is to provide a comprehensive guide for the E-Cell System version 3 in terms of the software features and its usage. While the publicly available E-Cell Simulation Environment version 3 User's Manual provides the technical details of model building and scripting, it does not describe some of the underlying concepts of the E-Cell System. The first part of the book addresses this issue by providing the basic concepts of modeling and simulation with the E-Cell System.

Table of Contents

Introduction to Whole Cell Modeling.- Foundations of E-Cell Simulation Environment Architecture.- Distributed Cell Biology Simulations with the E-Cell System.- A Guide to Modeling Reaction-Diffusion of Molecules with the E-Cell System.- A Model Library of Bacterial Chemotaxis on E-Cell System.- Electrophysiological Simulation of Developmental Changes in Action Potentials of Cardiomyocytes.- Simulation of Human Erythrocyte Metabolism.- Dynamic Kinetic Modeling of Mitochondrial Energy Metabolism.- A Computational Model of the Hepatic Lobule.- Decoding the Signaling Mechanism of Toll-Like Receptor 4 Pathways in Wild Type and Knockouts.- Modeling of Hsp70-Mediated Protein Refolding.

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