Challenges of Physiome Projects
Challenges of Physiome Projects
复制标题
Physiome 项目的挑战
DOI：
10.1541/ieejeiss.127.1491
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发表时间：
2007
影响因子：
--
通讯作者：
T. Nomura
中科院分区：
文献类型：
--
作者：
T. Nomura
在后基因组时代，来自许多学科的知识和大量生物数据与数学和信息科学的整合正在将世界推向新一代的生命科学，其中来自活体人体的生理和病理信息可以在多个时间和大小尺度上以及通过不同的组织层次进行定量描述。Physiome项目代表了这些新兴科学。挑战在于不仅要理解和定量整合单一时空尺度上的生物实体（如离子通道蛋白和酶）的结构和功能，还要理解和定量整合多尺度实体之间的功能关系。这种综合方法与还原论生命科学的线性方法形成鲜明对比，它将使我们能够理解生物功能的潜在机制，这些机制将通过每个元素的动态和元素的大集合而出现。本文讨论了几个点的挑战，预计将通过生理工程解决。
The integration of knowledge from many disciplines and vast amount of biological data in the post-genome era together with mathematical and information sciences is moving the world towards a new generation of life science where physiological and pathological information from the living human body can be quantitatively described in silico across multiple scales of time and size and through diverse hierarchies of organization. The Physiome Project represents such emerging sciences. The challenge is to understand and quantitatively integrate not only structure and function of biological entities such as ion channel proteins and enzymes on a single spatio-temporal scale, but also functional relationships between entities across multiple scales. This integrative approach is in stark contrast to the linear approach of reductionist life science, and it will allow us to understand the mechanisms underlying biological functions that will emerge through the dynamics of each element and large aggregations of the elements. This article discusses several points of the challenge that are expected to be resolved through the Physiome Project.