Literature DB >> 26819882

Winners of CASMI2013: Automated Tools and Challenge Data.

Takaaki Nishioka1, Takeshi Kasama2, Tomoya Kinumi3, Hidefumi Makabe4, Fumio Matsuda5, Daisuke Miura6, Masahiro Miyashita7, Takemichi Nakamura8, Ken Tanaka9, Atsushi Yamamoto10.   

Abstract

CASMI (Critical Assessment of Small Molecule Identification) is a contest in which participants identify the molecular formula and chemical structure of challenging molecules using blind mass spectra as the challenge data. Seven research teams participated in CASMI2013. The winner of CASMI2013 was the team of Andrew Newsome and Dejan Nikolic, the University of Illinois at Chicago, IL, USA. The team identified 15 among 16 challenge molecules by manually interpreting the challenge data and by searching in-house and public mass spectral databases, and chemical substance and literature databases. MAGMa was selected as the best automated tool of CASMI2013. In some challenges, most of the automated tools successfully identified the challenge molecules, independent of the compound class and magnitude of the molecular mass. In these challenge data, all of the isotope peaks and the product ions essential for the identification were observed within the expected mass accuracy. In the other challenges, most of the automated tools failed, or identified solution candidates together with many false-positive candidates. We then analyzed these challenge data based on the quality of the mass spectra, the dissociation mechanisms, and the compound class and elemental composition of the challenge molecules.

Entities:  

Keywords:  automated identification; challenge molecules; data quality; mass spectrometry; metabolomics

Year:  2014        PMID: 26819882      PMCID: PMC4337369          DOI: 10.5702/massspectrometry.S0039

Source DB:  PubMed          Journal:  Mass Spectrom (Tokyo)        ISSN: 2186-5116


  23 in total

1.  KNApSAcK family databases: integrated metabolite-plant species databases for multifaceted plant research.

Authors:  Farit Mochamad Afendi; Taketo Okada; Mami Yamazaki; Aki Hirai-Morita; Yukiko Nakamura; Kensuke Nakamura; Shun Ikeda; Hiroki Takahashi; Md Altaf-Ul-Amin; Latifah K Darusman; Kazuki Saito; Shigehiko Kanaya
Journal:  Plant Cell Physiol       Date:  2011-11-28       Impact factor: 4.927

2.  Substructure-based annotation of high-resolution multistage MS(n) spectral trees.

Authors:  Lars Ridder; Justin J J van der Hooft; Stefan Verhoeven; Ric C H de Vos; René van Schaik; Jacques Vervoort
Journal:  Rapid Commun Mass Spectrom       Date:  2012-10-30       Impact factor: 2.419

3.  MetFusion: integration of compound identification strategies.

Authors:  Michael Gerlich; Steffen Neumann
Journal:  J Mass Spectrom       Date:  2013-03       Impact factor: 1.982

4.  Mass++: A Visualization and Analysis Tool for Mass Spectrometry.

Authors:  Satoshi Tanaka; Yuichiro Fujita; Howell E Parry; Akiyasu C Yoshizawa; Kentaro Morimoto; Masaki Murase; Yoshihiro Yamada; Jingwen Yao; Shin-Ichi Utsunomiya; Shigeki Kajihara; Mitsuru Fukuda; Masayuki Ikawa; Tsuyoshi Tabata; Kentaro Takahashi; Ken Aoshima; Yoshito Nihei; Takaaki Nishioka; Yoshiya Oda; Koichi Tanaka
Journal:  J Proteome Res       Date:  2014-07-07       Impact factor: 4.466

5.  In silico fragmentation for computer assisted identification of metabolite mass spectra.

Authors:  Sebastian Wolf; Stephan Schmidt; Matthias Müller-Hannemann; Steffen Neumann
Journal:  BMC Bioinformatics       Date:  2010-03-22       Impact factor: 3.169

6.  An accelerated workflow for untargeted metabolomics using the METLIN database.

Authors:  Ralf Tautenhahn; Kevin Cho; Winnie Uritboonthai; Zhengjiang Zhu; Gary J Patti; Gary Siuzdak
Journal:  Nat Biotechnol       Date:  2012-09       Impact factor: 54.908

7.  Characterization of fifty-one flavonoids in a Chinese herbal prescription Longdan Xiegan Decoction by high-performance liquid chromatography coupled to electrospray ionization tandem mass spectrometry and photodiode array detection.

Authors:  Yun Wang; Li Yang; Yu-Qi He; Chang-Hong Wang; Ed W Welbeck; S W Annie Bligh; Zheng-Tao Wang
Journal:  Rapid Commun Mass Spectrom       Date:  2008-06       Impact factor: 2.419

8.  Analysis of curcuminoids by positive and negative electrospray ionization and tandem mass spectrometry.

Authors:  Hongliang Jiang; Arpád Somogyi; Neil E Jacobsen; Barbara N Timmermann; David R Gang
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

9.  Molecular Formula Identification with SIRIUS.

Authors:  Kai Dührkop; Kerstin Scheubert; Sebastian Böcker
Journal:  Metabolites       Date:  2013-06-13

10.  Small Molecule Identification with MOLGEN and Mass Spectrometry.

Authors:  Markus Meringer; Emma L Schymanski
Journal:  Metabolites       Date:  2013-05-28
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  5 in total

1.  Identification of Anthropogenic Compounds in Urban Environments and Evaluation of Automated Methods for Reading Fragmentation-A Case of River Water.

Authors:  Atsushi Yamamoto; Naoko Matsumoto; Hideya Kawasaki; Ryuichi Arakawa
Journal:  Mass Spectrom (Tokyo)       Date:  2016-06-02

Review 2.  Trends in the application of high-resolution mass spectrometry for human biomonitoring: An analytical primer to studying the environmental chemical space of the human exposome.

Authors:  Syam S Andra; Christine Austin; Dhavalkumar Patel; Georgia Dolios; Mahmoud Awawda; Manish Arora
Journal:  Environ Int       Date:  2017-01-04       Impact factor: 9.621

3.  CliqueMS: a computational tool for annotating in-source metabolite ions from LC-MS untargeted metabolomics data based on a coelution similarity network.

Authors:  Oriol Senan; Antoni Aguilar-Mogas; Miriam Navarro; Jordi Capellades; Luke Noon; Deborah Burks; Oscar Yanes; Roger Guimerà; Marta Sales-Pardo
Journal:  Bioinformatics       Date:  2019-10-15       Impact factor: 6.937

4.  MetFrag relaunched: incorporating strategies beyond in silico fragmentation.

Authors:  Christoph Ruttkies; Emma L Schymanski; Sebastian Wolf; Juliane Hollender; Steffen Neumann
Journal:  J Cheminform       Date:  2016-01-29       Impact factor: 5.514

Review 5.  Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics.

Authors:  Ivana Blaženović; Tobias Kind; Jian Ji; Oliver Fiehn
Journal:  Metabolites       Date:  2018-05-10
  5 in total

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