title: Target identification of natural and traditional medicines with quantitative chemical proteomics approaches.
abstract: Natural and traditional medicines, being a great source of drugs and drug leads, have regained wide interests due to the limited success of high-throughput screening of compound libraries in the past few decades and the recent technology advancement. Many drugs/bioactive compounds exert their functions through interaction with their protein targets, with more and more drugs showing their ability to target multiple proteins, thus target identification has an important role in drug discovery and biomedical research fields. Identifying drug targets not only furthers the understanding of the mechanism of action (MOA) of a drug but also reveals its potential therapeutic applications and adverse side effects. Chemical proteomics makes use of affinity chromatography approaches coupled with mass spectrometry to systematically identify small molecule-protein interactions. Although traditional affinity-based chemical proteomics approaches have made great progress in the identification of cellular targets and elucidation of MOAs of many bioactive molecules, nonspecific binding remains a major issue which may reduce the accuracy of target identification and may hamper the drug development process. Recently, quantitative proteomics approaches, namely, metabolic labeling, chemical labeling, or label-free approaches, have been implemented in target identification to overcome such limitations. In this review, we will summarize and discuss the recent advances in the application of various quantitative chemical proteomics approaches for the identification of targets of natural and traditional medicines.
authors.affiliation: The State Key Laboratory of Pharmaceutical Biotechnology, College of Life Sciences, Nanjing University, China; Department of Biological Sciences, National University of Singapore, Singapore. Electronic address: wangjg@nju.edu.cn.
authors.forename: Jigang
authors.initials: J
authors.lastname: Wang
authors.affiliation: Institute of Bioengineering and Nanotechnology, Singapore.
authors.forename: Liqian
authors.initials: L
authors.lastname: Gao
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore.
authors.forename: Yew Mun
authors.initials: YM
authors.lastname: Lee
authors.affiliation: Department of Chemical Engineering, Imperial College London, United Kingdom.
authors.forename: Karunakaran A
authors.initials: KA
authors.lastname: Kalesh
authors.affiliation: Institute of Bioengineering and Nanotechnology, Singapore.
authors.forename: Yong Siang
authors.initials: YS
authors.lastname: Ong
authors.affiliation: Institute of Bioengineering and Nanotechnology, Singapore.
authors.forename: Jaehong
authors.initials: J
authors.lastname: Lim
authors.affiliation: Institute of Bioengineering and Nanotechnology, Singapore.
authors.forename: Joo-Eun
authors.initials: JE
authors.lastname: Jee
authors.affiliation: Department of Biology and Chemistry, City University of Hong Kong, Hong Kong, China.
authors.forename: Hongyan
authors.initials: H
authors.lastname: Sun
authors.affiliation: Institute of Bioengineering and Nanotechnology, Singapore. Electronic address: sslee@ibn.a-star.edu.sg.
authors.forename: Su Seong
authors.initials: SS
authors.lastname: Lee
authors.affiliation: The State Key Laboratory of Pharmaceutical Biotechnology, College of Life Sciences, Nanjing University, China. Electronic address: huazc@nju.edu.cn.
authors.forename: Zi-Chun
authors.initials: ZC
authors.lastname: Hua
authors.affiliation: Department of Biological Sciences, National University of Singapore, Singapore. Electronic address: dbslinqs@nus.edu.sg.
authors.forename: Qingsong
authors.initials: Q
authors.lastname: Lin
mesh_terms: D000818:Animals; D055808:Drug Discovery; D006801:Humans; D008519:Medicine, Traditional; D040901:Proteomics
keywords: Chemical biology; Natural and traditional medicines; Quantitative proteomics; SILAC; Target identification; iTRAQ