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[网络分析在疾病与药物研究中的应用]

[Application of network analysis in diseases and drug studies].

作者信息

Chen Yin-Ying, Wang Zhong

机构信息

Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2013 Mar;38(5):773-6.

PMID:23724693
Abstract

A disease is rarely caused by a single virulence gene, but by an imbalanced regulatory network arising from dysfunction of multiple genes or their products. However, drugs intervene the occurrence and development of a disease by acting on multiple target points in the disease network and making a synergy effect on each target point, in order to achieve the therapeutic effect. Unlike traditional approaches focusing on a single molecule or pathway, network analysis with high-throughput data provides a new perspective for studying disease pathobiology and pharmacological mechanisms, and brings forth new ideas for multi-component and multi-target-point pharmacologic mechanisms of traditional Chinese medicines, in three aspects-establishment of relevant disease and drug network, network decomposition, and biological significant of sub-network.

摘要

一种疾病很少由单个毒力基因引起,而是由多个基因或其产物功能障碍导致的调节网络失衡所致。然而,药物通过作用于疾病网络中的多个靶点并对每个靶点产生协同效应来干预疾病的发生和发展,从而达到治疗效果。与专注于单个分子或途径的传统方法不同,利用高通量数据进行的网络分析为研究疾病病理生物学和药理机制提供了新视角,并从中医学多成分、多靶点药理机制的三个方面——相关疾病和药物网络的建立、网络分解以及子网的生物学意义,带来了新思路。

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