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Multiscale Modeling and Data Integration in the Virtual Physiological Rat Project

机译:虚拟生理大鼠项目中的多尺度建模和数据集成

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摘要

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.
机译:越来越明显的是,许多复杂疾病的描述只有通过考虑不同生理规模的多种影响才有可能。要使用计算模型做到这一点,通常需要集成多个具有重叠尺度的模型(基因到分子,分子到细胞,细胞到组织)。国家普通医学科学研究所(NIGMS)资助的国家系统生物学中心的虚拟生理大鼠(VPR)项目旨在机械地描述几种复杂的疾病,因此正在寻找方法来促进跨生理尺度的模型集成过程。此外,VPR具有相当大的实验成分,必须将所得数据整合到这些复合多尺度模型中,并提供给研究团体。本文将在多尺度生理模型的背景下,介绍模型集成和共享以及实验数据存档的最新技术现状。已经发现,当前的本体论,模型和数据存储库资源以及集成的软件工具足以从单独的现有模型创建组合模型,并且此处开发的示例组合模型显示出独立模型无法预测的紧急行为。

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