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系统药理学中的网络分析。

Network analyses in systems pharmacology.

机构信息

Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA.

出版信息

Bioinformatics. 2009 Oct 1;25(19):2466-72. doi: 10.1093/bioinformatics/btp465. Epub 2009 Jul 30.

DOI:10.1093/bioinformatics/btp465
PMID:19648136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2752618/
Abstract

Systems pharmacology is an emerging area of pharmacology which utilizes network analysis of drug action as one of its approaches. By considering drug actions and side effects in the context of the regulatory networks within which the drug targets and disease gene products function, network analysis promises to greatly increase our knowledge of the mechanisms underlying the multiple actions of drugs. Systems pharmacology can provide new approaches for drug discovery for complex diseases. The integrated approach used in systems pharmacology can allow for drug action to be considered in the context of the whole genome. Network-based studies are becoming an increasingly important tool in understanding the relationships between drug action and disease susceptibility genes. This review discusses how analysis of biological networks has contributed to the genesis of systems pharmacology and how these studies have improved global understanding of drug targets, suggested new targets and approaches for therapeutics, and provided a deeper understanding of the effects of drugs. Taken together, these types of analyses can lead to new therapeutic options while improving the safety and efficacy of existing medications.

摘要

系统药理学是药理学的一个新兴领域,它利用药物作用的网络分析作为其方法之一。通过考虑药物作用和副作用在药物靶点和疾病基因产物作用的调控网络背景下,网络分析有望极大地增加我们对药物多种作用机制的了解。系统药理学可以为复杂疾病的药物发现提供新的方法。系统药理学中使用的综合方法可以允许在整个基因组的背景下考虑药物作用。基于网络的研究正在成为理解药物作用与疾病易感性基因之间关系的一个越来越重要的工具。这篇综述讨论了生物网络分析如何促成系统药理学的产生,以及这些研究如何提高对药物靶点的全面理解,为治疗提供新的靶点和方法,并深入了解药物的作用。总之,这些类型的分析可以在提高现有药物的安全性和有效性的同时,带来新的治疗选择。

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本文引用的文献

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PLoS Comput Biol. 2009 May;5(5):e1000387. doi: 10.1371/journal.pcbi.1000387. Epub 2009 May 15.
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Generating genome-scale candidate gene lists for pharmacogenomics.生成用于药物基因组学的全基因组规模候选基因列表。
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JNets: exploring networks by integrating annotation.JNets:通过整合注释来探索网络。
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