Advancements in capturing and mining mass spectrometry data are transforming natural products research

Author:

Jarmusch Scott A.1ORCID,van der Hooft Justin J. J.2ORCID,Dorrestein Pieter C.3,Jarmusch Alan K.34ORCID

Affiliation:

1. Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads 221, DK-2800 Kongens Lyngby, Denmark

2. Bioinformatics Group, Wageningen University, Wageningen, The Netherlands

3. Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093-0751, USA

4. Immunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA

Abstract

This review covers the current and potential use of mass spectrometry-based metabolomics data mining in natural products. Public data, metadata, databases and data analysis tools are critical. The value and success of data mining rely on community participation.

Funder

Netherlands eScience Center

National Institute of Environmental Health Sciences

National Institutes of Health

Danmarks Grundforskningsfond

Publisher

Royal Society of Chemistry (RSC)

Subject

Organic Chemistry,Drug Discovery,Biochemistry

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