Network genomics.

T. Ideker
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引用次数: 11

Abstract

Network genomics is an emerging area of bioengineering which models the influence of genes (hence, genomics) in the context of a larger biomolecular system or network. A biomolecular network is a comprehensive collection of molecules and molecular interactions that regulate cellular function. Molecular interactions include physical binding events between proteins and proteins, proteins and DNA, or proteins and drugs, as well as genetic relationships dictating how genes combine to cause particular phenotypes. Thinking about biological systems as networks goes hand-in-hand with our ability to experimentally measure and define biomolecular interactions at large scale. Once we have catalogued all of the interactions present in a network, we may begin to ask questions such as: How many different molecules are bound by a typical protein? What is the topological structure of the network? How are signals transmitted through the network in response to internal and external events? Which parts of the network are evolutionarily conserved across species, and which parts differ? Perhaps most importantly, we can begin to use the interaction network as a storehouse of information from which to extract and construct computer-based models of cellular processes and disease.
网络基因组学。
网络基因组学是生物工程的一个新兴领域,它在更大的生物分子系统或网络的背景下模拟基因(因此,基因组学)的影响。生物分子网络是调节细胞功能的分子和分子相互作用的综合集合。分子相互作用包括蛋白质与蛋白质、蛋白质与DNA或蛋白质与药物之间的物理结合事件,以及决定基因如何结合以引起特定表型的遗传关系。将生物系统视为网络与我们在大规模实验中测量和定义生物分子相互作用的能力密切相关。一旦我们对网络中存在的所有相互作用进行了编目,我们可能会开始提出这样的问题:一个典型的蛋白质结合了多少种不同的分子?网络的拓扑结构是什么?信号如何通过网络传输以响应内部和外部事件?网络的哪些部分在物种间进化上是保守的,哪些部分是不同的?也许最重要的是,我们可以开始使用交互网络作为信息库,从中提取和构建基于计算机的细胞过程和疾病模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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