Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7689105 | TrAC Trends in Analytical Chemistry | 2016 | 9 Pages |
Abstract
Traditional medicine which consisted of multiple herbal drugs and its complexity greatly limited the new drug discovery from traditional medicine in the post-genomic era. Natural products discovery approach affords no information about compound structure or pharmacological activities until late in the discovery process and leads to low probabilities of finding compounds with unique biological properties. Therefore, by integrating serum pharmacochemistry-based screening with high-resolution metabolomics analysis, we have developed a new platform, termed chinmedomics which is capable of directly discover the bioactive constituents. By analyzing the correlation between the endogenous biomarker of diseases or TCM syndrome and exogenous constituents to find the highly associated constituents with efficacy of formulae as the effective substances, and further clarifying the activities of effective substances, and may discover lead compounds and make the innovative drug discovery based on clinical experiences. It will significantly advance the drug discovery from traditional medicine in the post-genomic era.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Xijun Wang, Aihua Zhang, Hui Sun, Ying Han, Guangli Yan,