多尺度系统免疫学项目：用于基于细胞的免疫模拟的软件。
The Multiscale Systems Immunology project: software for cell-based immunological simulation.
作者信息
Mitha Faheem, Lucas Timothy A, Feng Feng, Kepler Thomas B, Chan Cliburn
机构信息
Center for Computational Immunology, Department of Biostatistics & Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Hock Plaza Suite G06, Durham NC 27705, USA.
出版信息
Source Code Biol Med. 2008 Apr 28;3:6. doi: 10.1186/1751-0473-3-6.
BACKGROUND
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.
RESULTS
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.
CONCLUSION
MSI addresses the need for a flexible and high-performing agent based model of the immune system.
背景
计算机模拟在生物现象建模中变得越来越重要。其目的是预测行为并指导未来的实验。本项目的目标是通过基于智能体的免疫反应模拟对疫苗接种的早期免疫反应进行建模，该模拟纳入了现实的生物物理学和细胞内动力学，并且足够灵活以准确模拟免疫系统的多尺度性质和复杂性，同时保持对科学计算至关重要的高性能。
结果
多尺度系统免疫学（MSI）模拟框架是一个用C++和Python编写的面向对象的模块化模拟框架。该软件实现了模块化设计，允许对组件进行灵活配置和参数初始化，从而能够运行模拟不同时间和空间尺度上发生的过程的模型。
结论
MSI满足了对灵活且高性能的基于智能体的免疫系统模型的需求。
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