Literature DB >> 11777197

Scoring methods in MALDI peptide mass fingerprinting: ChemScore, and the ChemApplex program.

Kenneth C Parker1.   

Abstract

No universally accepted score is currently available to determine when a matrix-assisted laser desorption ionization (MALDI) peptide mass fingerprint (PMF) experiment has been successfully carried out. We describe a software program (ChemApplex) based on a calculated parameter (Combined Protein Score) that takes into account (1) peak intensity, (2) the mass accuracy of the match, and (3) ChemScore, a theoretical intensity factor that estimates the probability of observing a particular peptide based on a combination of chemical considerations, in particular the amino acid composition of the peptide and the amino acid sequence of the amino acids that span the cleavage site. When these three factors are taken into account both at the level of individual peptides and at the protein level, protein components in mixtures whose peptides contribute less than 1% of the total intensity can often be correctly identified, as is demonstrated for mixtures of standard proteins. Moreover, it is possible to make robust database identifications that are nearly independent of the number of masses submitted and the mass error threshold used for matching. Protein scoring based on Combined Protein Score is orthogonal to many of the commonly used probability-based scoring schemes, and makes it possible to archive a more complete set of parameters that more thoroughly characterize the validity of the database match, which increases the confidence in the identifications.

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Year:  2002        PMID: 11777197     DOI: 10.1016/S1044-0305(01)00320-8

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  17 in total

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Authors:  K R Clauser; P Baker; A L Burlingame
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2.  Enhancing the intensities of lysine-terminated tryptic peptide ions in matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  R L Beardsley; J A Karty; J P Reilly
Journal:  Rapid Commun Mass Spectrom       Date:  2000       Impact factor: 2.419

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Journal:  Curr Biol       Date:  1993-06-01       Impact factor: 10.834

4.  Identification of yeast proteins from two-dimensional gels: working out spot cross-contamination.

Authors:  K C Parker; J I Garrels; W Hines; E M Butler; A H McKee; D Patterson; S Martin
Journal:  Electrophoresis       Date:  1998-08       Impact factor: 3.535

5.  Large-scale analysis of the yeast proteome by multidimensional protein identification technology.

Authors:  M P Washburn; D Wolters; J R Yates
Journal:  Nat Biotechnol       Date:  2001-03       Impact factor: 54.908

6.  Protein identification by mass profile fingerprinting.

Authors:  P James; M Quadroni; E Carafoli; G Gonnet
Journal:  Biochem Biophys Res Commun       Date:  1993-08-31       Impact factor: 3.575

7.  Peptide mass maps: a highly informative approach to protein identification.

Authors:  J R Yates; S Speicher; P R Griffin; T Hunkapiller
Journal:  Anal Biochem       Date:  1993-11-01       Impact factor: 3.365

Review 8.  Protein identification by peptide mass fingerprinting.

Authors:  J S Cottrell
Journal:  Pept Res       Date:  1994 May-Jun

9.  Analysis of missed cleavage sites, tryptophan oxidation and N-terminal pyroglutamylation after in-gel tryptic digestion.

Authors:  B Thiede; S Lamer; J Mattow; F Siejak; C Dimmler; T Rudel; P R Jungblut
Journal:  Rapid Commun Mass Spectrom       Date:  2000       Impact factor: 2.419

10.  The dominance of arginine-containing peptides in MALDI-derived tryptic mass fingerprints of proteins.

Authors:  E Krause; H Wenschuh; P R Jungblut
Journal:  Anal Chem       Date:  1999-10-01       Impact factor: 6.986

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  10 in total

1.  Iterative data analysis is the key for exhaustive analysis of peptide mass fingerprints from proteins separated by two-dimensional electrophoresis.

Authors:  Frank Schmidt; Monika Schmid; Peter R Jungblut; Jens Mattow; Axel Facius; Klaus Peter Pleissner
Journal:  J Am Soc Mass Spectrom       Date:  2003-09       Impact factor: 3.109

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Authors:  Maren Depke; Stephan Michalik; Alexander Rabe; Kristin Surmann; Lars Brinkmann; Nico Jehmlich; Jörg Bernhardt; Michael Hecker; Bernd Wollscheid; Zhi Sun; Robert L Moritz; Uwe Völker; Frank Schmidt
Journal:  Proteomics       Date:  2015-09-07       Impact factor: 3.984

5.  HybGFS: a hybrid method for genome-fingerprint scanning.

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6.  A Perl procedure for protein identification by Peptide Mass Fingerprinting.

Authors:  Alessandra Tiengo; Nicola Barbarini; Sonia Troiani; Luisa Rusconi; Paolo Magni
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7.  Protein cleavage strategies for an improved analysis of the membrane proteome.

Authors:  Frank Fischer; Ansgar Poetsch
Journal:  Proteome Sci       Date:  2006-03-02       Impact factor: 2.480

8.  Calibration of mass spectrometric peptide mass fingerprint data without specific external or internal calibrants.

Authors:  Witold E Wolski; Maciej Lalowski; Peter Jungblut; Knut Reinert
Journal:  BMC Bioinformatics       Date:  2005-08-15       Impact factor: 3.169

9.  A global Staphylococcus aureus proteome resource applied to the in vivo characterization of host-pathogen interactions.

Authors:  Stephan Michalik; Maren Depke; Annette Murr; Manuela Gesell Salazar; Ulrike Kusebauch; Zhi Sun; Tanja C Meyer; Kristin Surmann; Henrike Pförtner; Petra Hildebrandt; Stefan Weiss; Laura Marcela Palma Medina; Melanie Gutjahr; Elke Hammer; Dörte Becher; Thomas Pribyl; Sven Hammerschmidt; Eric W Deutsch; Samuel L Bader; Michael Hecker; Robert L Moritz; Ulrike Mäder; Uwe Völker; Frank Schmidt
Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

10.  Artificial Intelligence Understands Peptide Observability and Assists With Absolute Protein Quantification.

Authors:  David Zimmer; Kevin Schneider; Frederik Sommer; Michael Schroda; Timo Mühlhaus
Journal:  Front Plant Sci       Date:  2018-11-13       Impact factor: 5.753

  10 in total

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