Literature DB >> 18304935

DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra.

Anoop M Mayampurath1, Navdeep Jaitly, Samuel O Purvine, Matthew E Monroe, Kenneth J Auberry, Joshua N Adkins, Richard D Smith.   

Abstract

UNLABELLED: DeconMSn accurately determines the monoisotopic mass and charge state of parent ions from high-resolution tandem mass spectrometry data, offering significant improvement for LTQ_FT and LTQ_Orbitrap instruments over the commercially delivered Thermo Fisher Scientific's extract_msn tool. Optimal parent ion mass tolerance values can be determined using accurate mass information, thus improving peptide identifications for high-mass measurement accuracy experiments. For low-resolution data from LCQ and LTQ instruments, DeconMSn incorporates a support-vector-machine-based charge detection algorithm that identifies the most likely charge of a parent species through peak characteristics of its fragmentation pattern. AVAILABILITY: http://ncrr.pnl.gov/software/ or http://www.proteomicsresource.org/.

Mesh:

Year:  2008        PMID: 18304935      PMCID: PMC2720627          DOI: 10.1093/bioinformatics/btn063

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


  4 in total

1.  Automated reduction and interpretation of high resolution electrospray mass spectra of large molecules.

Authors:  D M Horn; R A Zubarev; F W McLafferty
Journal:  J Am Soc Mass Spectrom       Date:  2000-04       Impact factor: 3.109

2.  Peptide charge state determination for low-resolution tandem mass spectra.

Authors:  Aaron A Klammer; Christine C Wu; Michael J MacCoss; William Stafford Noble
Journal:  Proc IEEE Comput Syst Bioinform Conf       Date:  2005

3.  Determination of monoisotopic masses and ion populations for large biomolecules from resolved isotopic distributions.

Authors:  M W Senko; S C Beu; F W McLaffertycor
Journal:  J Am Soc Mass Spectrom       Date:  1995-04       Impact factor: 3.109

4.  Automated assignment of charge states from resolved isotopic peaks for multiply charged ions.

Authors:  M W Senko; S C Beu; F W McLafferty
Journal:  J Am Soc Mass Spectrom       Date:  1995-01       Impact factor: 3.109

  4 in total
  77 in total

1.  Computational analysis of unassigned high-quality MS/MS spectra in proteomic data sets.

Authors:  Kang Ning; Damian Fermin; Alexey I Nesvizhskii
Journal:  Proteomics       Date:  2010-07       Impact factor: 3.984

2.  EnvCNN: A Convolutional Neural Network Model for Evaluating Isotopic Envelopes in Top-Down Mass-Spectral Deconvolution.

Authors:  Abdul Rehman Basharat; Xia Ning; Xiaowen Liu
Journal:  Anal Chem       Date:  2020-05-13       Impact factor: 6.986

3.  Discovery of mouse spleen signaling responses to anthrax using label-free quantitative phosphoproteomics via mass spectrometry.

Authors:  Nathan P Manes; Li Dong; Weidong Zhou; Xiuxia Du; Nikitha Reghu; Arjan C Kool; Dahan Choi; Charles L Bailey; Emanuel F Petricoin; Lance A Liotta; Serguei G Popov
Journal:  Mol Cell Proteomics       Date:  2010-12-28       Impact factor: 5.911

4.  Coupling Secretomics with Enzyme Activities To Compare the Temporal Processes of Wood Metabolism among White and Brown Rot Fungi.

Authors:  Gerald N Presley; Ellen Panisko; Samuel O Purvine; Jonathan S Schilling
Journal:  Appl Environ Microbiol       Date:  2018-08-01       Impact factor: 4.792

5.  DtaRefinery, a software tool for elimination of systematic errors from parent ion mass measurements in tandem mass spectra data sets.

Authors:  Vladislav A Petyuk; Anoop M Mayampurath; Matthew E Monroe; Ashoka D Polpitiya; Samuel O Purvine; Gordon A Anderson; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

6.  Characterization of strategies for obtaining confident identifications in bottom-up proteomics measurements using hybrid FTMS instruments.

Authors:  Aleksey V Tolmachev; Matthew E Monroe; Samuel O Purvine; Ronald J Moore; Navdeep Jaitly; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  Anal Chem       Date:  2008-10-15       Impact factor: 6.986

Review 7.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

8.  Establishing the proteome of normal human cerebrospinal fluid.

Authors:  Steven E Schutzer; Tao Liu; Benjamin H Natelson; Thomas E Angel; Athena A Schepmoes; Samuel O Purvine; Kim K Hixson; Mary S Lipton; David G Camp; Patricia K Coyle; Richard D Smith; Jonas Bergquist
Journal:  PLoS One       Date:  2010-06-11       Impact factor: 3.240

9.  Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.

Authors:  Arzu Umar; Hyuk Kang; Annemieke M Timmermans; Maxime P Look; Marion E Meijer-van Gelder; Michael A den Bakker; Navdeep Jaitly; John W M Martens; Theo M Luider; John A Foekens; Ljiljana Pasa-Tolić
Journal:  Mol Cell Proteomics       Date:  2009-03-27       Impact factor: 5.911

10.  Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.

Authors:  Navdeep Jaitly; Anoop Mayampurath; Kyle Littlefield; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  BMC Bioinformatics       Date:  2009-03-17       Impact factor: 3.169

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