PILOT-PROTEIN: Identification of unmodified and modified proteins via high-resolution mass spectrometry and mixed-integer linear optimization

Richard C. Baliban, Peter A. Dimaggio, Mariana D. Plazas-Mayorca, Benjamin A. Garcia, Christodoulos A. Floudas

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A novel protein identification framework, PILOT-PROTEIN, has been developed to construct a comprehensive list of all unmodified proteins that are present in a living sample. It uses the peptide identification results from the PILOT-SEQUEL algorithm to initially determine all unmodified proteins within the sample. Using a rigorous biclustering approach that groups incorrect peptide sequences with other homologous sequences, the number of false positives reported is minimized. A sequence tag procedure is then incorporated along with the untargeted PTM identification algorithm, PILOT-PTM, to determine a list of all modification types and sites for each protein. The unmodified protein identification algorithm, PILOT-PROTEIN, is compared to the methods SEQUEST, InsPecT, X!Tandem, VEMS, and ProteinProspector using both prepared protein samples and a more complex chromatin digest. The algorithm demonstrates superior protein identification accuracy with a lower false positive rate. All materials are freely available to the scientific community at http://pumpd.princeton.edu.

Original languageEnglish
Pages (from-to)4615-4629
Number of pages15
JournalJournal of Proteome Research
Volume11
Issue number9
DOIs
StatePublished - Sep 7 2012

Keywords

  • de novo/database search
  • integer linear optimization
  • peptide identification
  • post-translational modifications
  • protein identification
  • tandem mass spectrometry

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