a Institute for Information and Communication Technology , National Research Council , Ottawa , Canada.
b Sussex Research Inc ., Ottawa , Canada.
Expert Opin Drug Discov. 2016 Aug;11(8):759-70. doi: 10.1080/17460441.2016.1195365. Epub 2016 Jul 1.
The metabolic profile is a direct signature of phenotype and biochemical activity following any perturbation. Metabolites are small molecules present in a biological system including natural products as well as drugs and their metabolism by-products depending on the biological system studied. Metabolomics can provide activity information about possible novel drugs and drug scaffolds, indicate interesting targets for drug development and suggest binding partners of compounds. Furthermore, metabolomics can be used for the discovery of novel natural products and in drug development. Metabolomics can enhance the discovery and testing of new drugs and provide insight into the on- and off-target effects of drugs.
This review focuses primarily on the application of metabolomics in the discovery of active drugs from natural products and the analysis of chemical libraries and the computational analysis of metabolic networks.
Metabolomics methodology, both experimental and analytical is fast developing. At the same time, databases of compounds are ever growing with the inclusion of more molecular and spectral information. An increasing number of systems are being represented by very detailed metabolic network models. Combining these experimental and computational tools with high throughput drug testing and drug discovery techniques can provide new promising compounds and leads.
代谢特征是任何干扰后表型和生化活性的直接特征。代谢物是存在于生物系统中的小分子,包括天然产物以及药物及其代谢副产物,具体取决于所研究的生物系统。代谢组学可以提供有关可能的新型药物和药物支架的活性信息,指示药物开发的有趣靶标,并提示化合物的结合伙伴。此外,代谢组学可用于发现新的天然产物和药物开发。代谢组学可以增强新药的发现和测试,并深入了解药物的靶内和靶外效应。
本篇综述主要关注代谢组学在从天然产物中发现活性药物、分析化学文库和代谢网络的计算分析方面的应用。
代谢组学方法学,无论是实验方法还是分析方法,都在迅速发展。同时,化合物数据库随着越来越多的分子和光谱信息的加入而不断增长。越来越多的系统由非常详细的代谢网络模型表示。将这些实验和计算工具与高通量药物测试和药物发现技术相结合,可以提供新的有前途的化合物和先导化合物。