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  • 标题:The Multiscale Systems Immunology project: software for cell-based immunological simulation
  • 本地全文:下载
  • 作者:Faheem Mitha ; Timothy A Lucas ; Feng Feng
  • 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
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