Mapi: A server for improving protein identification from a four matrices mass spectrometry approach

Juan Cedano, Oscar Yanes, Mario Ferrer-Navarro, Silvia Bronsoms, Enrique Querol, Francesc Xavier Aviles

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and peptide mass fingerprint (PMF) are one of the most powerful combined tool for protein identification. Frequently it is the method of choice as it is faster and less expensive than protein sequencing. However, sometimes PMF only allows the identification of a subset of peptides, requiring further MS/MS or Edman degradation to attain unequivocal protein identification. This work describes an approach that combines several matrices to improve the fidelity of the protein identification by MALDI-TOF MS. The matrices used for sample preparation are 2,5-dihydroxybenzoic acid (DHB), 2,6-dihydroxyacetophenone (DHAP), CHCA and 2,4,6-Trihydroxy acetophenone (THAP). We have also developed an algorithm called Matrix Assisted Protein Identification (MAPI) that processes Mascot datasets derived from each one of the four matrix preparations, integrating them and achieving a significant improvement in protein identification. © 2010 Bentham Science Publishers Ltd.
Original languageEnglish
Pages (from-to)102-107
JournalCurrent Proteomics
Volume7
DOIs
Publication statusPublished - 23 Jul 2010

Keywords

  • 2d-electrophoresis
  • Bioinformatics
  • MALDI-TOF MS
  • Protein identification

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