Literature DB >> 18763276

FiD: a software for ab initio structural identification of product ions from tandem mass spectrometric data.

Markus Heinonen1, Ari Rantanen, Taneli Mielikäinen, Juha Kokkonen, Jari Kiuru, Raimo A Ketola, Juho Rousu.   

Abstract

We present FiD (Fragment iDentificator), a software tool for the structural identification of product ions produced with tandem mass spectrometric measurement of low molecular weight organic compounds. Tandem mass spectrometry (MS/MS) has proven to be an indispensable tool in modern, cell-wide metabolomics and fluxomics studies. In such studies, the structural information of the MS(n) product ions is usually needed in the downstream analysis of the measurement data. The manual identification of the structures of MS(n) product ions is, however, a nontrivial task requiring expertise, and calls for computer assistance. Commercial software tools, such as Mass Frontier and ACD/MS Fragmenter, rely on fragmentation rule databases for the identification of MS(n) product ions. FiD, on the other hand, conducts a combinatorial search over all possible fragmentation paths and outputs a ranked list of alternative structures. This gives the user an advantage in situations where the MS/MS data of compounds with less well-known fragmentation mechanisms are processed. FiD software implements two fragmentation models, the single-step model that ignores intermediate fragmentation states and the multi-step model, which allows for complex fragmentation pathways. The software works for MS/MS data produced both in positive- and negative-ion modes. The software has an easy-to-use graphical interface with built-in visualization capabilities for structures of product ions and fragmentation pathways. In our experiments involving amino acids and sugar-phosphates, often found, e.g., in the central carbon metabolism of yeasts, FiD software correctly predicted the structures of product ions on average in 85% of the cases. The FiD software is free for academic use and is available for download from www.cs.helsinki.fi/group/sysfys/software/fragid.

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Year:  2008        PMID: 18763276     DOI: 10.1002/rcm.3701

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  24 in total

1.  Searching molecular structure databases with tandem mass spectra using CSI:FingerID.

Authors:  Kai Dührkop; Huibin Shen; Marvin Meusel; Juho Rousu; Sebastian Böcker
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-21       Impact factor: 11.205

2.  Method for the Compound Annotation of Conjugates in Nontargeted Metabolomics Using Accurate Mass Spectrometry, Multistage Product Ion Spectra and Compound Database Searching.

Authors:  Tairo Ogura; Takeshi Bamba; Akihiro Tai; Eiichiro Fukusaki
Journal:  Mass Spectrom (Tokyo)       Date:  2015-03-26

3.  Automatic Compound Annotation from Mass Spectrometry Data Using MAGMa.

Authors:  Lars Ridder; Justin J J van der Hooft; Stefan Verhoeven
Journal:  Mass Spectrom (Tokyo)       Date:  2014-07-02

4.  Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.

Authors:  Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
Journal:  Brief Bioinform       Date:  2019-11-27       Impact factor: 11.622

5.  Metabolite identification and quantitation in LC-MS/MS-based metabolomics.

Authors:  Jun Feng Xiao; Bin Zhou; Habtom W Ressom
Journal:  Trends Analyt Chem       Date:  2012-02-01       Impact factor: 12.296

6.  compMS2Miner: An Automatable Metabolite Identification, Visualization, and Data-Sharing R Package for High-Resolution LC-MS Data Sets.

Authors:  William M B Edmands; Lauren Petrick; Dinesh K Barupal; Augustin Scalbert; Mark J Wilson; Jeffrey K Wickliffe; Stephen M Rappaport
Journal:  Anal Chem       Date:  2017-03-27       Impact factor: 6.986

7.  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

8.  Fragment formula calculator (FFC): determination of chemical formulas for fragment ions in mass spectrometric data.

Authors:  André Wegner; Daniel Weindl; Christian Jäger; Sean C Sapcariu; Xiangyi Dong; Gregory Stephanopoulos; Karsten Hiller
Journal:  Anal Chem       Date:  2014-02-05       Impact factor: 6.986

9.  Pathway-Activity Likelihood Analysis and Metabolite Annotation for Untargeted Metabolomics Using Probabilistic Modeling.

Authors:  Ramtin Hosseini; Neda Hassanpour; Li-Ping Liu; Soha Hassoun
Journal:  Metabolites       Date:  2020-05-03

10.  Computational mass spectrometry for small molecules.

Authors:  Kerstin Scheubert; Franziska Hufsky; Sebastian Böcker
Journal:  J Cheminform       Date:  2013-03-01       Impact factor: 5.514

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