Application of network analysis in diseases and drug studies.
- Author:
Yin-Ying CHEN
1
;
Zhong WANG
Author Information
1. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. fanok77@126.com
- Publication Type:Journal Article
- MeSH:
Computational Biology;
methods;
Disease;
Drug Therapy;
methods;
Humans;
Medicine, Chinese Traditional;
Pharmacology;
methods
- From:
China Journal of Chinese Materia Medica
2013;38(5):773-776
- CountryChina
- Language:Chinese
-
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.
