Literature DB >> 15516130

De novo peptide sequencing based on a divide-and-conquer algorithm and peptide tandem spectrum simulation.

Zhongqi Zhang1.   

Abstract

Mass spectrometry-based de novo peptide sequencing is generally more reliable on high-resolution instruments owing to their high resolution and mass accuracy. On a lower resolution instrument such as the more widely used quadrupole ion traps, de novo peptide sequencing is not so reliable or requires more MS(3) experiments. However, the peptide CID spectrum has been demonstrated to be quite reproducible on an ion trap instrument and can be predicted with good accuracy. A new de novo peptide sequencing technique, DACSIM, combining a divide-and-conquer algorithm for deriving sequence candidates and spectrum simulation for sequence refinement, is developed for spectra acquired on an ion trap instrument. When DACSIM was used to sequence peptides 500-1900 u in mass generated from proteolytic digests of hemoglobin and myoglobin, the success rate was 70% with a false positive rate of only 6%, when isoleucine and leucine residues were not distinguished.

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Year:  2004        PMID: 15516130     DOI: 10.1021/ac0491206

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  21 in total

1.  De novo sequencing and homology searching.

Authors:  Bin Ma; Richard Johnson
Journal:  Mol Cell Proteomics       Date:  2011-11-16       Impact factor: 5.911

2.  Automated precursor ion exclusion during LC-MS/MS data acquisition for optimal ion identification.

Authors:  Zhongqi Zhang
Journal:  J Am Soc Mass Spectrom       Date:  2012-06-06       Impact factor: 3.109

3.  Analysis of the stochastic variation in LTQ single scan mass spectra.

Authors:  Qunhua Li; Qiangwei Xia; Tiansong Wang; Marina Meila; Murray Hackett
Journal:  Rapid Commun Mass Spectrom       Date:  2006       Impact factor: 2.419

4.  Reversed-phase liquid chromatography in-line with negative ionization electrospray mass spectrometry for the characterization of the disulfide-linkages of an immunoglobulin gamma antibody.

Authors:  Dirk Chelius; Mary E Huff Wimer; Pavel V Bondarenko
Journal:  J Am Soc Mass Spectrom       Date:  2006-08-14       Impact factor: 3.109

5.  De novo peptide sequencing using exhaustive enumeration of peptide composition.

Authors:  Matthew T Olson; Jonathan A Epstein; Alfred L Yergey
Journal:  J Am Soc Mass Spectrom       Date:  2006-06-02       Impact factor: 3.109

6.  Peptide conformation in gas phase probed by collision-induced dissociation and its correlation to conformation in condensed phases.

Authors:  Zhongqi Zhang; Joseph Bordas-Nagy
Journal:  J Am Soc Mass Spectrom       Date:  2006-04-03       Impact factor: 3.109

7.  De novo peptide identification via tandem mass spectrometry and integer linear optimization.

Authors:  Peter A DiMaggio; Christodoulos A Floudas
Journal:  Anal Chem       Date:  2007-02-15       Impact factor: 6.986

8.  N-terminal glutamate to pyroglutamate conversion in vivo for human IgG2 antibodies.

Authors:  Y Diana Liu; Andrew M Goetze; Randal B Bass; Gregory C Flynn
Journal:  J Biol Chem       Date:  2011-01-31       Impact factor: 5.157

9.  Mass measurement and top-down HPLC/MS analysis of intact monoclonal antibodies on a hybrid linear quadrupole ion trap-Orbitrap mass spectrometer.

Authors:  Pavel V Bondarenko; Tonya P Second; Vlad Zabrouskov; Alexander A Makarov; Zhongqi Zhang
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-28       Impact factor: 3.109

10.  A Mixed-Integer Optimization Framework for De Novo Peptide Identification.

Authors:  Peter A Dimaggio; Christodoulos A Floudas
Journal:  AIChE J       Date:  2007-01-01       Impact factor: 3.993

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