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网络生物学在药理学和毒理学中的影响。

The impact of network biology in pharmacology and toxicology.

机构信息

Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.

出版信息

SAR QSAR Environ Res. 2012;23(3-4):221-35. doi: 10.1080/1062936X.2012.657237. Epub 2012 Feb 22.

Abstract

With the need to investigate alternative approaches and emerging technologies in order to increase drug efficacy and reduce adverse drug effects, network biology offers a novel way of approaching drug discovery by considering the effect of a molecule and protein's function in a global physiological environment. By studying drug action across multiple scales of complexity, from molecular to cellular and tissue level, network-based computational methods have the potential to improve our understanding of the impact of chemicals in human health. In this review we present the available large-scale databases and tools that allow integration and analysis of such information for understanding the properties of small molecules in the context of cellular networks. With the recent advances in the omics area, global integrative approaches are necessary to cope with the massive amounts of data, and biomedical researchers are urged to implement new types of analyses that can lead to new therapeutic interventions with increased safety and efficacy compared with existing medications.

摘要

为了提高药物疗效和减少药物不良反应,需要研究替代方法和新兴技术,网络生物学通过考虑分子和蛋白质在全局生理环境中的功能,提供了一种新的药物发现方法。通过研究药物在从分子到细胞和组织水平的多个复杂尺度上的作用,基于网络的计算方法有可能提高我们对化学物质对人类健康影响的理解。在这篇综述中,我们介绍了现有的大规模数据库和工具,这些数据库和工具允许整合和分析这些信息,以了解小分子在细胞网络中的特性。随着组学领域的最新进展,需要采用全局综合方法来处理大量数据,生物医学研究人员被敦促实施新型分析方法,这些方法可以带来新的治疗干预措施,与现有药物相比,具有更高的安全性和疗效。

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