| Literature DB >> 31035305 |
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.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