Literature DB >> 29447341

ChemDistiller: an engine for metabolite annotation in mass spectrometry.

Ivan Laponogov1, Noureddin Sadawi1, Dieter Galea1, Reza Mirnezami1, Kirill A Veselkov1.   

Abstract

Motivation: High-resolution mass spectrometry permits simultaneous detection of thousands of different metabolites in biological samples; however, their automated annotation still presents a challenge due to the limited number of tailored computational solutions freely available to the scientific community.
Results: Here, we introduce ChemDistiller, a customizable engine that combines automated large-scale annotation of metabolites using tandem MS data with a compiled database containing tens of millions of compounds with pre-calculated 'fingerprints' and fragmentation patterns. Our tests using publicly and commercially available tandem MS spectra for reference compounds show retrievals rates comparable to or exceeding the ones obtainable by the current state-of-the-art solutions in the field while offering higher throughput, scalability and processing speed. Availability and implementation: Source code freely available for download at https://bitbucket.org/iAnalytica/chemdistillerpython. Supplementary information: Supplementary data are available at Bioinformatics online.

Entities:  

Mesh:

Year:  2018        PMID: 29447341     DOI: 10.1093/bioinformatics/bty080

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

1.  CFM-ID 4.0 - a web server for accurate MS-based metabolite identification.

Authors:  Fei Wang; Dana Allen; Siyang Tian; Eponine Oler; Vasuk Gautam; Russell Greiner; Thomas O Metz; David S Wishart
Journal:  Nucleic Acids Res       Date:  2022-05-24       Impact factor: 19.160

2.  MINE 2.0: Enhanced biochemical coverage for peak identification in untargeted metabolomics.

Authors:  Jonathan Strutz; Kevin M Shebek; Linda J Broadbelt; Keith E J Tyo
Journal:  Bioinformatics       Date:  2022-05-20       Impact factor: 6.931

3.  Deep kernel learning improves molecular fingerprint prediction from tandem mass spectra.

Authors:  Kai Dührkop
Journal:  Bioinformatics       Date:  2022-06-24       Impact factor: 6.931

4.  Chemically informed analyses of metabolomics mass spectrometry data with Qemistree.

Authors:  Anupriya Tripathi; Yoshiki Vázquez-Baeza; Julia M Gauglitz; Mingxun Wang; Kai Dührkop; Mélissa Nothias-Esposito; Deepa D Acharya; Madeleine Ernst; Justin J J van der Hooft; Qiyun Zhu; Daniel McDonald; Asker D Brejnrod; Antonio Gonzalez; Jo Handelsman; Markus Fleischauer; Marcus Ludwig; Sebastian Böcker; Louis-Félix Nothias; Rob Knight; Pieter C Dorrestein
Journal:  Nat Chem Biol       Date:  2020-11-16       Impact factor: 15.040

5.  MetFID: artificial neural network-based compound fingerprint prediction for metabolite annotation.

Authors:  Ziling Fan; Amber Alley; Kian Ghaffari; Habtom W Ressom
Journal:  Metabolomics       Date:  2020-09-30       Impact factor: 4.747

6.  JUMPm: A Tool for Large-Scale Identification of Metabolites in Untargeted Metabolomics.

Authors:  Xusheng Wang; Ji-Hoon Cho; Suresh Poudel; Yuxin Li; Drew R Jones; Timothy I Shaw; Haiyan Tan; Boer Xie; Junmin Peng
Journal:  Metabolites       Date:  2020-05-12

Review 7.  The Chemical Exposome of Human Aging.

Authors:  Biswapriya B Misra
Journal:  Front Genet       Date:  2020-11-23       Impact factor: 4.599

Review 8.  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

9.  In silico MS/MS spectra for identifying unknowns: a critical examination using CFM-ID algorithms and ENTACT mixture samples.

Authors:  Alex Chao; Hussein Al-Ghoul; Andrew D McEachran; Ilya Balabin; Tom Transue; Tommy Cathey; Jarod N Grossman; Randolph R Singh; Elin M Ulrich; Antony J Williams; Jon R Sobus
Journal:  Anal Bioanal Chem       Date:  2020-01-22       Impact factor: 4.142

10.  MolDiscovery: learning mass spectrometry fragmentation of small molecules.

Authors:  Liu Cao; Mustafa Guler; Azat Tagirdzhanov; Yi-Yuan Lee; Alexey Gurevich; Hosein Mohimani
Journal:  Nat Commun       Date:  2021-06-17       Impact factor: 14.919

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