Identification of small molecules using accurate mass MS/MS search

Mass Spectrometry Reviews

Volumn 37, Issue 4, 2018, Pages 513-532

  Kind, Tobias ^a   Tsugawa, Hiroshi ^b   Cajka, Tomas ^a   Ma, Yan ^c   Lai, Zijuan ^a   Mehta, Sajjan S ^a   Wohlgemuth, Gert ^a   Barupal, Dinesh Kumar ^a   Showalter, Megan R ^a   Arita, Masanori ^b   Fiehn, Oliver ^a,d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b RIKEN Center for Sustainable Resource Science   (Japan)

^c NATIONAL INSTITUTE OF BIOLOGICAL SCIENCES   (China)

^d KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

compound identification; high resolution mass spectrometry; library search; tandem mass spectrometry

Indexed keywords

DATA ACQUISITION; LEARNING SYSTEMS; MASS SPECTROMETERS; MOLECULES; QUANTUM CHEMISTRY;

ENVIRONMENTAL ANALYSIS; HIGH RESOLUTION MASS SPECTROMETRY; INSTRUMENTAL SETTING; LIBRARY SEARCH; MACHINE LEARNING METHODS; SCIENTIFIC DISCOVERY; TANDEM MASS SPECTRA; TANDEM MASS SPECTROMETRY;

MASS SPECTROMETRY;

CHEMICAL DATABASE; CHEMICAL MODEL; COMPUTER SIMULATION; DEVICES; HUMAN; INFORMATION DISSEMINATION; ISOLATION AND PURIFICATION; MACHINE LEARNING; MOLECULAR LIBRARY; PROCEDURES; QUANTUM THEORY; SOFTWARE; STATISTICS AND NUMERICAL DATA; TANDEM MASS SPECTROMETRY;

COMPUTER SIMULATION; DATABASES, CHEMICAL; HUMANS; INFORMATION DISSEMINATION; MACHINE LEARNING; MODELS, CHEMICAL; QUANTUM THEORY; SMALL MOLECULE LIBRARIES; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 85018914154     PISSN: 02777037     EISSN: 10982787     Source Type: Journal    
DOI: 10.1002/mas.21535     Document Type: Review

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