Modeling Cellular Systems
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Modeling Cellular Systems
This contributed volume comprises research articles and reviews on topics connected to the mathematical modeling of cellular systems. These contributions cover signaling pathways, stochastic effects, cell motility and mechanics, pattern formation processes, as well as multi-scale approaches. All authors attended the workshop on "Modeling Cellular Systems" which took place in Heidelberg in October 2014. The target audience primarily comprises researchers and experts in the field, but the book may also be beneficial for graduate students.
Membrane Computing
Author: David Corne
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-01-20
This book constitutes the thoroughly refereed extended postproceedings of the 9th International Workshop on Membrane Computing, WMC 2008, held in Edinburgh, UK, in July 2008 under the auspices of the European Molecular Computing Consortium (EMCC) and the Molecular Computing Task Force of IEEE Computational Intelligence Society. The 22 revised full papers presented together with 5 invited papers went through two rounds of reviewing and improvement. The papers in this volume cover all the main directions of research in membrane computing, ranging from theoretical topics in mathematics and computer science to application issues. A special attention was paid to the interaction of membrane computing with biology and computer science, focusing both on the biological roots of membrane computing, on applications of membrane computing in biology and medicine, and on possible electronically based implementations.
E‐Cell System
Author: Satya Nanda Vel Arjunan
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-05-13
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.