Literature DB >> 21351442

[Drug targets discovery based on dynamic signal transduction networks].

Juan Wang1, Xue-Jun Li.   

Abstract

Since last century, drug discovery efforts mostly focus on searching for chemicals which can inhibit some specific steps in a well-described disease pathway. However, this kind of highly specific inhibitors can not be effective for complex diseases, like cancer, diabetes, schizophrenia and mental illness. Therefore, we need to rethink the drug discovery and therapeutic strategies. In this review, the strategies of selection of cellular signal transduction networks and their dynamics as the targets for drug discovery and pharmacological treatments will be discussed. The properties and analytical methods of these signal transduction networks, internet sources and software tools for performing these strategies will be described. Strategies and procedures of using network-based drug discovery will be emphasized, including multi-targets drug design and network-based drug discovery.

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Year:  2010        PMID: 21351442

Source DB:  PubMed          Journal:  Yao Xue Xue Bao        ISSN: 0513-4870


  2 in total

1.  Prediction of the targets of the main components in blood after oral administration of Xanthii Fructus: a network pharmacology study.

Authors:  Yanshuang Zhuang; Kunming Qin; Bing Yang; Xiao Liu; Baochang Cai; Hao Cai
Journal:  RSC Adv       Date:  2018-02-27       Impact factor: 4.036

Review 2.  How Can Synergism of Traditional Medicines Benefit from Network Pharmacology?

Authors:  Haidan Yuan; Qianqian Ma; Heying Cui; Guancheng Liu; Xiaoyan Zhao; Wei Li; Guangchun Piao
Journal:  Molecules       Date:  2017-07-07       Impact factor: 4.411

  2 in total

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