2018
DOI: 10.1021/acs.analchem.8b05112
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Accelerating Metabolite Identification in Natural Product Research: Toward an Ideal Combination of Liquid Chromatography–High-Resolution Tandem Mass Spectrometry and NMR Profiling, in Silico Databases, and Chemometrics

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Cited by 187 publications
(158 citation statements)
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“…The initial procedure usually consists of using the experimental data to search matches through different databases. Several relevant databases for natural product discovery were recently reviewed by Wolfender et al [190]. We highlight here some of the open source alternatives that are particularly interesting for including curated experimental MS/MS data.…”
Section: Metabolomic Data Processing and Interpretationmentioning
confidence: 99%
“…The initial procedure usually consists of using the experimental data to search matches through different databases. Several relevant databases for natural product discovery were recently reviewed by Wolfender et al [190]. We highlight here some of the open source alternatives that are particularly interesting for including curated experimental MS/MS data.…”
Section: Metabolomic Data Processing and Interpretationmentioning
confidence: 99%
“…They were developed during the last 10-15 years in plant natural products. Using highly sensitive and reproducible analytical methods, they allow the correlation between chemical profile (qualitative or quantitative) and bioactivity data (Zampieri et al, 2017;Parrot et al, 2018;Wolfender et al, 2019) with recent progress in the field of data analysis and integration at the extract level (Wolfender et al, 2019). Finally, the group of direct phytochemical isolation approaches focuses on the comprehensive chemical characterization of the plant extract and the isolation of novel scaffolds without immediately evaluating their bioactivity.…”
Section: Strategies For Identification Of Bioactive Compounds From Crmentioning
confidence: 99%
“…For this latter aspect, the metabolite proling of complex CNEs for the early identication of NPs (metabolite annotation) has evolved considerably over the last decade in line with the development of metabolomics in other elds of life sciences. 4 In particular, the development of efficient workows combining sophisticated analytical techniques and powerful data mining soware has started to provide partial/ full structure information of a large number of NPs in extracts. Such approaches allow for an in-depth exploration of the chemical space covered by metabolomes of micro-or macroscopic living organisms.…”
Section: Introductionmentioning
confidence: 99%