Literature DB >> 18174179

DECOMP--from interpreting Mass Spectrometry peaks to solving the Money Changing Problem.

Sebastian Böcker1, Zsuzsanna Lipták, Marcel Martin, Anton Pervukhin, Henner Sudek.   

Abstract

UNLABELLED: We introduce Decomp, a tool that computes the sum formula of all molecules whose mass equals the input mass. This problem arises frequently in biochemistry and mass spectrometry (MS), when we know the molecular mass of a protein, DNA or metabolite fragment but have no other information. A closely related problem is known as the Money Changing Problem (MCP), where all masses are positive integers. Recently, efficient algorithms have been developed for the MCP, in which Decomp applies to real-valued MS data. The excellent performance of this method on proteomic and metabolomic MS data has recently been demonstrated. Decomp has an easy-to-use graphical interface, which caters for both types of users: those interested in solving MCP instances and those submitting MS data. AVAILABILITY: Decomp is freely accessible at http://bibiserv.techfak.uni-bielefeld.de/decomp/.

Mesh:

Year:  2008        PMID: 18174179     DOI: 10.1093/bioinformatics/btm631

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


  8 in total

1.  Molecular Formula Identification Using Isotope Pattern Analysis and Calculation of Fragmentation Trees.

Authors:  Kai Dührkop; Franziska Hufsky; Sebastian Böcker
Journal:  Mass Spectrom (Tokyo)       Date:  2014-07-18

2.  A DMS Shotgun Lipidomics Workflow Application to Facilitate High-Throughput, Comprehensive Lipidomics.

Authors:  Baolong Su; Lisa F Bettcher; Wei-Yuan Hsieh; Daniel Hornburg; Mackenzie J Pearson; Niek Blomberg; Martin Giera; Michael P Snyder; Daniel Raftery; Steven J Bensinger; Kevin J Williams
Journal:  J Am Soc Mass Spectrom       Date:  2021-10-12       Impact factor: 3.109

3.  Integration of untargeted metabolomics with transcriptomics reveals active metabolic pathways.

Authors:  Kyuil Cho; Bradley S Evans; B McKay Wood; Ritesh Kumar; Tobias J Erb; Benjamin P Warlick; John A Gerlt; Jonathan V Sweedler
Journal:  Metabolomics       Date:  2014-09-03       Impact factor: 4.290

4.  Molecular Formula Identification with SIRIUS.

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

5.  Digging into the low molecular weight peptidome with the OligoNet web server.

Authors:  Youzhong Liu; Sara Forcisi; Marianna Lucio; Mourad Harir; Florian Bahut; Magali Deleris-Bou; Sibylle Krieger-Weber; Régis D Gougeon; Hervé Alexandre; Philippe Schmitt-Kopplin
Journal:  Sci Rep       Date:  2017-09-15       Impact factor: 4.379

6.  The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching.

Authors:  Egon L Willighagen; John W Mayfield; Jonathan Alvarsson; Arvid Berg; Lars Carlsson; Nina Jeliazkova; Stefan Kuhn; Tomáš Pluskal; Miquel Rojas-Chertó; Ola Spjuth; Gilleain Torrance; Chris T Evelo; Rajarshi Guha; Christoph Steinbeck
Journal:  J Cheminform       Date:  2017-06-06       Impact factor: 5.514

7.  Computational mass spectrometry for small molecules.

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

Review 8.  The metaRbolomics Toolbox in Bioconductor and beyond.

Authors:  Jan Stanstrup; Corey D Broeckling; Rick Helmus; Nils Hoffmann; Ewy Mathé; Thomas Naake; Luca Nicolotti; Kristian Peters; Johannes Rainer; Reza M Salek; Tobias Schulze; Emma L Schymanski; Michael A Stravs; Etienne A Thévenot; Hendrik Treutler; Ralf J M Weber; Egon Willighagen; Michael Witting; Steffen Neumann
Journal:  Metabolites       Date:  2019-09-23
  8 in total

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