Comprehensive Profiling of Phenolic Compounds in White and Red Chinese Bayberries (Morella rubra Sieb. et Zucc.) and Their Developmental Variations Using Tandem Mass Spectral Molecular Networking

2021 ◽  
Author(s):  
Qiang Lyu ◽  
Xin Wen ◽  
Yilong Liu ◽  
Chongde Sun ◽  
Kunsong Chen ◽  
...  
Keyword(s):  
Phenolic Compounds ◽  
Tandem Mass ◽  
Molecular Networking ◽  
Mass Spectral ◽  
Developmental Variations

Comprehensive structural characterization of phenolics in litchi pulp using tandem mass spectral molecular networking

2019 ◽  
Vol 282 ◽  
pp. 9-17 ◽  
Author(s):  
Qiang Lyu ◽  
Ting-Hao Kuo ◽  
Chongde Sun ◽  
Kunsong Chen ◽  
Cheng-Chih Hsu ◽  
...  
Keyword(s):  
Structural Characterization ◽  
Tandem Mass ◽  
Molecular Networking ◽  
Mass Spectral

On the inter-instrument and inter-laboratory transferability of a tandem mass spectral reference library: 1. Results of an Austrian multicenter study

2009 ◽  
Vol 44 (4) ◽  
pp. 485-493 ◽  
Author(s):  
Herbert Oberacher ◽  
Marion Pavlic ◽  
Kathrin Libiseller ◽  
Birthe Schubert ◽  
Michael Sulyok ◽  
...  
Keyword(s):  
Multicenter Study ◽  
Tandem Mass ◽  
Reference Library ◽  
Mass Spectral

scholarly journals The Tripod for Bacterial Natural Product Discovery: Genome Mining, Silent Pathway Induction, and Mass Spectrometry-Based Molecular Networking

mSystems ◽  
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Daniela B. B. Trivella ◽  
Rafael de Felicio
Keyword(s):  
Mass Spectrometry ◽  
Natural Products ◽  
Natural Product ◽  
Biosynthetic Pathway ◽  
Genome Mining ◽  
Chemical Compounds ◽  
Gene Clusters ◽  
Tandem Mass ◽  
Molecular Networking ◽  
Natural Product Discovery

ABSTRACT Natural products are the richest source of chemical compounds for drug discovery. Particularly, bacterial secondary metabolites are in the spotlight due to advances in genome sequencing and mining, as well as for the potential of biosynthetic pathway manipulation to awake silent (cryptic) gene clusters under laboratory cultivation. Further progress in compound detection, such as the development of the tandem mass spectrometry (MS/MS) molecular networking approach, has contributed to the discovery of novel bacterial natural products. The latter can be applied directly to bacterial crude extracts for identifying and dereplicating known compounds, therefore assisting the prioritization of extracts containing novel natural products, for example. In our opinion, these three approaches—genome mining, silent pathway induction, and MS-based molecular networking—compose the tripod for modern bacterial natural product discovery and will be discussed in this perspective.

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