国防科学技术大学,国防科学技术大学
国家自然科学基金资助项目(31000591, 31000587, 31171266)
Department of Automatic Control,College of Mechanical Electronic Engineering and Automatization,National University of Defense Technology,Department of Automatic Control,College of Mechanical Electronic Engineering and Automatization,National University of Defense Technology
This work was supported by grants from The National Natural Science Foundation of China (31000591, 31000587, 31171266)
分子网络研究是从全局角度揭示生物系统的结构和功能的重要手段,现有的网络分析大部分是基于静态网络.实际上,在不同的环境条件、组织类型和疾病状态以及生长和分化的过程中,分子网络时刻都在发生变化.经过研究人员的努力,人们已经提出了一些可用于分析分子网络动态的生物信息学方法,如节点的动态性分类、动态蛋白质复合物的预测、条件特异子网的构建以及网络动态行为的模拟等.本文综述了动态分子网络的构建与分析方法.可以预见,动态网络分析将成为未来网络研究的标准模式.
Molecular network research is an important means to reveal the structure and function of biological systems from a global point of view. The existing analysis methods are mostly based on the static network. In fact, the biological networks change all the time with the environmental conditions, tissue types, disease status, growth and differentiation. Researchers have proposed some bioinformatics methods for the dynamic analysis of molecular networks, such as the dynamic classification of the hub nodes, the prediction of dynamic protein complexes, the construction of condition specific subnetworks, and the simulation of dynamic behavior of networks. In this paper, we reviewed these methods for the dynamic molecular network analysis. Predictable, dynamic network analysis will become the standard mode of the future network research.
刘伟,谢红卫.动态分子网络的构建与分析[J].生物化学与生物物理进展,2014,41(2):115-125
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