Université Paris Diderot - Inserm UMR-S973, MTi, 75205, Paris Cedex 13, 75013, Paris, France.
Institut de Recherche Servier, 125 Chemin de Ronde, 78290, Croissy-sur-Seine, France.
Mol Inform. 2017 Oct;36(10). doi: 10.1002/minf.201700048. Epub 2017 Jul 10.
In drug discovery, network-based approaches are expected to spotlight our understanding of drug action across multiple layers of information. On one hand, network pharmacology considers the drug response in the context of a cellular or phenotypic network. On the other hand, a chemical-based network is a promising alternative for characterizing the chemical space. Both can provide complementary support for the development of rational drug design and better knowledge of the mechanisms underlying the multiple actions of drugs. Recent progress in both concepts is discussed here. In addition, a network-based approach using drug-target-therapy data is introduced as an example.
在药物发现中，基于网络的方法有望凸显我们对药物在多个信息层中的作用的理解。一方面，网络药理学考虑了药物在细胞或表型网络中的反应。另一方面，基于化学的网络是描述化学空间的有前途的替代方法。两者都可以为合理的药物设计的发展和对药物多种作用的机制的更好了解提供互补支持。本文讨论了这两个概念的最新进展。此外，还介绍了一个使用药物-靶标-治疗数据的基于网络的方法作为示例。
