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Mass spectrometry‐driven drug discovery for development of herbal medicine
Author(s) -
Zhang Aihua,
Sun Hui,
Wang Xijun
Publication year - 2016
Publication title -
mass spectrometry reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.035
H-Index - 126
eISSN - 1098-2787
pISSN - 0277-7037
DOI - 10.1002/mas.21529
Subject(s) - drug discovery , biomarker discovery , natural product , identification (biology) , chemistry , drug development , business process discovery , high throughput screening , drug , computational biology , biochemical engineering , pharmacology , proteomics , medicine , work in process , engineering , biochemistry , botany , operations management , business process modeling , biology , stereochemistry , gene , business process
Herbal medicine (HM) has made a major contribution to the drug discovery process with regard to identifying products compounds. Currently, more attention has been focused on drug discovery from natural compounds of HM. Despite the rapid advancement of modern analytical techniques, drug discovery is still a difficult and lengthy process. Fortunately, mass spectrometry (MS) can provide us with useful structural information for drug discovery, has been recognized as a sensitive, rapid, and high‐throughput technology for advancing drug discovery from HM in the post‐genomic era. It is essential to develop an efficient, high‐quality, high‐throughput screening method integrated with an MS platform for early screening of candidate drug molecules from natural products. We have developed a new chinmedomics strategy reliant on MS that is capable of capturing the candidate molecules, facilitating their identification of novel chemical structures in the early phase; chinmedomics‐guided natural product discovery based on MS may provide an effective tool that addresses challenges in early screening of effective constituents of herbs against disease. This critical review covers the use of MS with related techniques and methodologies for natural product discovery, biomarker identification, and determination of mechanisms of action. It also highlights high‐throughput chinmedomics screening methods suitable for lead compound discovery illustrated by recent successes.

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