Literature DB >> 21082431

Modeling mass spectrometry-based protein analysis.

Jan Eriksson1, David Fenyö.   

Abstract

The success of mass spectrometry based proteomics depends on efficient methods for data analysis. These methods require a detailed understanding of the information value of the data. Here, we describe how the information value can be elucidated by performing simulations using synthetic data.

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Year:  2011        PMID： 21082431      PMCID： PMC3757507          DOI： 10.1007/978-1-60761-977-2_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  14 in total

1.  RADARS, a bioinformatics solution that automates proteome mass spectral analysis, optimises protein identification, and archives data in a relational database.

Authors:  Helen I Field; David Fenyö; Ronald C Beavis
Journal:  Proteomics       Date:  2002-01       Impact factor: 3.984

2.  A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes.

Authors:  David Fenyö; Ronald C Beavis
Journal:  Anal Chem       Date:  2003-02-15       Impact factor: 6.986

3.  The statistical significance of protein identification results as a function of the number of protein sequences searched.

Authors:  Jan Eriksson; David Fenyö
Journal:  J Proteome Res       Date:  2004 Sep-Oct       Impact factor: 4.466

4.  Protein identification in complex mixtures.

Authors:  Jan Eriksson; David Fenyö
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

5.  Using annotated peptide mass spectrum libraries for protein identification.

Authors:  R Craig; J C Cortens; D Fenyo; R C Beavis
Journal:  J Proteome Res       Date:  2006-08       Impact factor: 4.466

6.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

7.  Improving the success rate of proteome analysis by modeling protein-abundance distributions and experimental designs.

Authors:  Jan Eriksson; David Fenyö
Journal:  Nat Biotechnol       Date:  2007-06       Impact factor: 54.908

8.  Identification of the components of simple protein mixtures by high-accuracy peptide mass mapping and database searching.

Authors:  O N Jensen; A V Podtelejnikov; M Mann
Journal:  Anal Chem       Date:  1997-12-01       Impact factor: 6.986

9.  Identifying proteins from two-dimensional gels by molecular mass searching of peptide fragments in protein sequence databases.

Authors:  W J Henzel; T M Billeci; J T Stults; S C Wong; C Grimley; C Watanabe
Journal:  Proc Natl Acad Sci U S A       Date:  1993-06-01       Impact factor: 11.205

10.  Error-tolerant identification of peptides in sequence databases by peptide sequence tags.

Authors:  M Mann; M Wilm
Journal:  Anal Chem       Date:  1994-12-15       Impact factor: 6.986
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  1 in total

1.  Exploring the Diversity of Cysteine-Rich Natural Product Peptides via MS/MS Fingerprint Ions.

Authors:  Nicole C Parsley; Owen L Williams; Leslie M Hicks
Journal:  J Am Soc Mass Spectrom       Date:  2020-07-30       Impact factor: 3.109
  1 in total

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