文章基本信息

标题：The Multiscale Systems Immunology project: software for cell-based immunological simulation
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作者：Faheem Mitha ; Timothy A Lucas ; Feng Feng 等
期刊名称：Source Code for Biology and Medicine
印刷版ISSN：1751-0473
电子版ISSN：1751-0473
出版年度：2008
卷号：3
期号：1
页码：6
DOI：10.1186/1751-0473-3-6
语种：English
出版社：BioMed Central
摘要：Computer simulations are of increasing importance in modeling biological phenomena. Their purpose is to predict behavior and guide future experiments. The aim of this project is to model the early immune response to vaccination by an agent based immune response simulation that incorporates realistic biophysics and intracellular dynamics, and which is sufficiently flexible to accurately model the multi-scale nature and complexity of the immune system, while maintaining the high performance critical to scientific computing. The Multiscale Systems Immunology (MSI) simulation framework is an object-oriented, modular simulation framework written in C++ and Python. The software implements a modular design that allows for flexible configuration of components and initialization of parameters, thus allowing simulations to be run that model processes occurring over different temporal and spatial scales. MSI addresses the need for a flexible and high-performing agent based model of the immune system.
关键词：Soluble Factor ; Early Immune Response ; Beowulf Cluster ; Multigrid Scheme ; Intracellular Dynamic