Bioengineering and systems biology
Bioengineering and systems biology
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DOI：
10.1007/s10439-005-9047-7
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发表时间：
2006-02-01
影响因子：
3.8
通讯作者：
Lauffenburger, AD
中科院分区：
文献类型：
--
作者：
Ideker, T;Winslow, LR;Lauffenburger, AD
一个被称为系统生物学的领域正在兴起，它源于分子生物学和基因组生物学的革命——这一系列的革命使生物医学科学家认识到，生命系统不仅可以从它们的机械、分子水平的组成部分进行研究，而且可以同时从许多组成部分进行研究。这种理解生物实体如何通过组成部分的综合操作框架发挥作用的前景，对医疗应用以及更广泛的社会应用（如环境、农业、材料/制造和国防）具有非凡的前景。系统生物学的一些定义是可用的。Ideker et al. 22建议如下：“系统生物学并不像过去30年来非常成功的生物学模式那样，一次研究单个基因或蛋白质。相反，它研究的是一个特定生物系统在运作时所有元素的行为和关系。”Kitano27的描述是：“为了在系统水平上理解生物学，我们必须研究细胞和有机体功能的结构和动态，而不是细胞或有机体的孤立部分的特征。”NIH1的国家普通医学科学研究所提供了一个稍微不同的观点：“系统生物学试图预测现实扰动下体内生物过程的定量行为，其中定量治疗的力量来自于过程组件的明确包含，它们的相互作用，以及它们的浓度、位置和地方状态的现实值。”系统生物学也可以按照“4m”（测量、挖掘、建模和操作）进行定义，如麻省理工学院计算与系统生物学计划所示，如图1所示（见http://csbi）。麻省理工学院。edu/)。在后基因组时代，Measure-
A field known as Systems Biology is emerging, from roots in the molecular biology and genomic biology revolutions—the succession of which has led biomedical scientists to recognize that living systems can be studied not only in terms of their mechanistic, molecular-level components but also in terms of many of them simultaneously. This prospect of understanding how biological entities function through the framework of integrated operation of component parts holds extraordinary promise for medical applications, as well for broader societal applications such as the environment, agriculture, materials/manufacturing, and national defense.Some definitions of Systems Biology are available. Ideker et al. 22 suggest the following:“Systems Biology does not investigate individual genes or proteins one at a time, as has been the highly successful mode of biology for the past 30 years. Rather, it investigates the behavior and relationships of all the elements in a particular biological system while it is functioning.” A description by Kitano27 is that “To understand biology at the system level, we must examine the structure and dynamics of cellular and organismal function, rather than the characteristics of isolated parts of a cell or organism.” The National Institute of General Medical Sciences at NIH1 provides a slightly different perspective:“Systems Biology seeks to predict the quantitative behavior of an in vivo biological process under realistic perturbation, where the quantitative treatment derives its power from explicit inclusion of the process components, their interactions, and realistic values for their concentrations, locations, and local states.” Systems Biology can also be defined operationally, as by the MIT Computational & Systems Biology Initiative, in terms of the “4 M’s”—Measurement, Mining, Modeling, and Manipulation—illustrated schematically in Fig. 1 (see http://csbi. mit. edu/). In this post-genomic era, Measure-