Literature DB >> 31035305

De novo prediction of the elemental composition of peptides and proteins based on a single mass.

Jürgen Claesen1, Dirk Valkenborg1, Tomasz Burzykowski1.   

Abstract

Identification of peptides and proteins is a common task in mass spectrometry-based proteomics but often fails to deliver a comprehensive list of identifications. Downstream analysis, quantitative or qualitative, depends on the outcome of this process. Despite continuous improvement of computational methods, a large fraction of the screened peptides and/or proteins remains unidentified. We introduce here pacMASS, a method that de novo predicts the elemental composition of peptides and small proteins based on a single accurate mass, ie, the observed monoisotopic or average mass. This novel approach returns in a fast and memory efficient manner a limited number of elemental compositions per queried peptide or protein.
© 2019 John Wiley & Sons, Ltd.

Keywords:  MS1; bioinformatics; identification; mass spectrometry; proteomics

Mesh:

Substances:

Year:  2019        PMID: 31035305     DOI: 10.1002/jms.4367

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  1 in total

1.  Predicting the number of sulfur atoms in peptides and small proteins based on the observed aggregated isotope distribution.

Authors:  Jürgen Claesen; Dirk Valkenborg; Tomasz Burzykowski
Journal:  Rapid Commun Mass Spectrom       Date:  2021-10-15       Impact factor: 2.419

  1 in total

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