2014
DOI: 10.5702/massspectrometry.s0034
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CASMI 2013: Identification of Small Molecules by Tandem Mass Spectrometry Combined with Database and Literature Mining

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Cited by 6 publications
(11 citation statements)
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“…Team Newsome accumulated such product ions of various classes of metabolites on its own in-house mass spectral database. 20) e database supported the team's winning the contest. MS 2 data for Challenges 11 and 12 showed product ions characteristic to curcuminoids and avones, respectively.…”
Section: Quality Of the Challenge Data Compound Class And Dissociatmentioning
confidence: 91%
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“…Team Newsome accumulated such product ions of various classes of metabolites on its own in-house mass spectral database. 20) e database supported the team's winning the contest. MS 2 data for Challenges 11 and 12 showed product ions characteristic to curcuminoids and avones, respectively.…”
Section: Quality Of the Challenge Data Compound Class And Dissociatmentioning
confidence: 91%
“…A few days later, team Newsome provided a hypothesis, whereby, in a hydration reaction at the epoxide group of aloxistatin, a glycol derivative of aloxistatin is formed inside the mass spectrometer, and the glycol is the source of the product ion. 20) e CASMI2013 organizers regret this error and express our apologies to all of the other participants that Challenge 13 was, in fact, MS 2 data of a mixture of two di erent small molecules. e lesson we learned is that the quality of the challenge data should be con rmed by manual interpretation of the data as well as by analysis on di erent analytical platforms.…”
Section: Quality Of the Challenge Data Compound Class And Dissociatmentioning
confidence: 99%
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