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P-Mod: an algorithm and software to map modifications to peptide sequences using tandem MS data.

Beau T Hansen1, Sean W Davey, Amy-Joan L Ham

  • 1Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, Arizona 85721-0207, USA.

Journal of Proteome Research
|April 13, 2005
PubMed
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A new algorithm, P-Mod, discovers unknown protein modifications by analyzing mass shifts in MS/MS spectra. This proteomics tool identifies novel modifications, aiding in biomarker discovery for disease and toxicity.

Area of Science:

  • Proteomics
  • Computational Biology
  • Biochemistry

Background:

  • Identifying unexpected protein modifications is a major challenge in proteomics.
  • Existing algorithms like Sequest and Mascot are limited to known modifications.

Purpose of the Study:

  • To develop a novel algorithm and software, P-Mod, for discovering and mapping unknown protein modifications.
  • To enable the identification of modifications without prior knowledge of their mass or location.

Main Methods:

  • P-Mod matches MS/MS spectra to peptide sequences, calculating mass differences to localize modifications.
  • It utilizes extreme value statistics for p-value estimation, scaled to manage expanded search lists.
  • The software integrates data from multiple LC-MS/MS analyses and samples.

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Main Results:

  • P-Mod successfully identified previously unreported modifications in Bovine Serum Albumin (BSA).
  • A novel decarboxymethylation or D-->G substitution at BSA position 579 was discovered.
  • The algorithm effectively detects modifications as mass shifts without user pre-specification.

Conclusions:

  • P-Mod offers a unique solution for identifying both exogenous and endogenous protein modifications.
  • The software can be valuable for discovering modified protein forms as potential biomarkers for toxicity and disease.
  • This approach advances the field of proteomics by enabling the discovery of unanticipated protein alterations.