Suppr超能文献

网络生物学中的层次化思维:生化网络的无偏模块化

Hierarchical thinking in network biology: the unbiased modularization of biochemical networks.

作者信息

Papin Jason A, Reed Jennifer L, Palsson Bernhard O

机构信息

Department of Bioengineering, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA.

出版信息

Trends Biochem Sci. 2004 Dec;29(12):641-7. doi: 10.1016/j.tibs.2004.10.001.

Abstract

As reconstructed biochemical reaction networks continue to grow in size and scope, there is a growing need to describe the functional modules within them. Such modules facilitate the study of biological processes by deconstructing complex biological networks into conceptually simple entities. The definition of network modules is often based on intuitive reasoning. As an alternative, methods are being developed for defining biochemical network modules in an unbiased fashion. These unbiased network modules are mathematically derived from the structure of the whole network under consideration.

摘要

随着重建的生化反应网络在规模和范围上不断扩大,对描述其中功能模块的需求也日益增长。这些模块通过将复杂的生物网络解构为概念上简单的实体,便于对生物过程进行研究。网络模块的定义通常基于直观推理。作为一种替代方法,正在开发以无偏方式定义生化网络模块的方法。这些无偏网络模块是从所考虑的整个网络结构中数学推导出来的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验