Iorio Francesco, Saez-Rodriguez Julio, di Bernardo Diego
Telethon Institute of Genetics and Medicine, Naples, Italy.
BMC Syst Biol. 2013 Dec 13;7:139. doi: 10.1186/1752-0509-7-139.
: Network-based drug discovery aims at harnessing the power of networks to investigate the mechanism of action of existing drugs, or new molecules, in order to identify innovative therapeutic treatments. In this review, we describe some of the most recent advances in the field of network pharmacology, starting with approaches relying on computational models of transcriptional networks, then moving to protein and signaling network models and concluding with "drug networks". These networks are derived from different sources of experimental data, or literature-based analysis, and provide a complementary view of drug mode of action. Molecular and drug networks are powerful integrated computational and experimental approaches that will likely speed up and improve the drug discovery process, once fully integrated into the academic and industrial drug discovery pipeline.
基于网络的药物发现旨在利用网络的力量来研究现有药物或新分子的作用机制,以确定创新的治疗方法。在本综述中,我们描述了网络药理学领域的一些最新进展,首先是依赖转录网络计算模型的方法,然后是蛋白质和信号网络模型,最后是“药物网络”。这些网络源自不同的实验数据来源或基于文献的分析,并提供了药物作用模式的互补观点。分子和药物网络是强大的综合计算和实验方法,一旦完全整合到学术和工业药物发现流程中,可能会加速并改善药物发现过程。