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多尺度建模和数据集成在虚拟生理大鼠项目中。

Multiscale modeling and data integration in the virtual physiological rat project.

机构信息

Biotechnology and Bioengineering Center and Center for Computational Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.

出版信息

Ann Biomed Eng. 2012 Nov;40(11):2365-78. doi: 10.1007/s10439-012-0611-7. Epub 2012 Jul 18.

Abstract

It has become increasingly evident that the descriptions of many complex diseases are only possible by taking into account multiple influences at different physiological scales. To do this with computational models often requires the integration of several models that have overlapping scales (genes to molecules, molecules to cells, cells to tissues). The Virtual Physiological Rat (VPR) Project, a National Institute of General Medical Sciences (NIGMS) funded National Center of Systems Biology, is tasked with mechanistically describing several complex diseases and is therefore identifying methods to facilitate the process of model integration across physiological scales. In addition, the VPR has a considerable experimental component and the resultant data must be integrated into these composite multiscale models and made available to the research community. A perspective of the current state of the art in model integration and sharing along with archiving of experimental data will be presented here in the context of multiscale physiological models. It was found that current ontological, model and data repository resources and integrative software tools are sufficient to create composite models from separate existing models and the example composite model developed here exhibits emergent behavior not predicted by the separate models.

摘要

越来越明显的是,只有考虑到不同生理尺度的多种影响,才能对许多复杂疾病进行描述。要通过计算模型做到这一点,通常需要整合几个具有重叠尺度的模型(从基因到分子,从分子到细胞,从细胞到组织)。作为美国国立卫生研究院(NIGMS)资助的国家系统生物学中心,虚拟生理大鼠(VPR)项目的任务是从机制上描述几种复杂疾病,因此正在寻找方法来促进跨生理尺度的模型整合过程。此外,VPR 有相当大的实验组成部分,必须将由此产生的数据整合到这些复合多尺度模型中,并提供给研究界。本文将从多尺度生理模型的角度介绍模型整合和共享以及实验数据归档的最新技术。结果发现,现有的本体、模型和数据存储库资源以及集成软件工具足以从单独的现有模型创建组合模型,这里开发的示例组合模型表现出了单独模型无法预测的突发行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25a/3463790/eafb8c78df48/10439_2012_611_Fig1_HTML.jpg

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