View in EDS

Combining mass spectrometry with database interrogation strategies in proteomics

Saved in:
Bibliographic Details
Title: Combining mass spectrometry with database interrogation strategies in proteomics
Authors: Liska, Adam J.1, Shevchenko, Andrej shevchenko@mpi-cbg.de
Source: Trends in Analytical Chemistry: TRAC. May2003, Vol. 22 Issue 5, p291. 8p.
Subjects: Proteomics, Mass spectrometry
Abstract: Protein identification by mass spectrometry (MS) and sequence-database searching was established in 1993; since then, the proteomics community has witnessed a proliferation of analytical strategies for protein identification. Analytical strategies comprise three components: MS platforms; spectra-database sequence correlation methods; and, sequence databases. Multiple strategies are now applied simultaneously to increase sensitivity, throughput, and reliability of the characterization of proteomes. Now, by assessing the complexity of the interplay of MS, bioinformatics and sequence databases, we can begin to predict future approaches and challenges in the development of proteomics. [Copyright &y& Elsevier]
Copyright of Trends in Analytical Chemistry: TRAC is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 9657717
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Combining mass spectrometry with database interrogation strategies in proteomics
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liska%2C+Adam+J%2E%22">Liska, Adam J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shevchenko%2C+Andrej%22">Shevchenko, Andrej</searchLink><i> shevchenko@mpi-cbg.de</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Trends+in+Analytical+Chemistry%3A+TRAC%22">Trends in Analytical Chemistry: TRAC</searchLink>. May2003, Vol. 22 Issue 5, p291. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Proteomics%22">Proteomics</searchLink><br /><searchLink fieldCode="DE" term="%22Mass+spectrometry%22">Mass spectrometry</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Protein identification by mass spectrometry (MS) and sequence-database searching was established in 1993; since then, the proteomics community has witnessed a proliferation of analytical strategies for protein identification. Analytical strategies comprise three components: MS platforms; spectra-database sequence correlation methods; and, sequence databases. Multiple strategies are now applied simultaneously to increase sensitivity, throughput, and reliability of the characterization of proteomes. Now, by assessing the complexity of the interplay of MS, bioinformatics and sequence databases, we can begin to predict future approaches and challenges in the development of proteomics. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Trends in Analytical Chemistry: TRAC is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=9657717
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/S0165-9936(03)00507-7
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 291
    Subjects:
      – SubjectFull: Proteomics
        Type: general
      – SubjectFull: Mass spectrometry
        Type: general
    Titles:
      – TitleFull: Combining mass spectrometry with database interrogation strategies in proteomics
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liska, Adam J.
      – PersonEntity:
          Name:
            NameFull: Shevchenko, Andrej
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2003
              Type: published
              Y: 2003
          Identifiers:
            – Type: issn-print
              Value: 01659936
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Trends in Analytical Chemistry: TRAC
              Type: main
ResultId 1