Work

CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction

Year: 2018

Type: article

Abstract: Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we have developed the here presented CharmeRT workflow, combining a chimeric spectra identification strategy implemented as part of the MS Amanda algorithm with the validation system Elutator, which incorporates a highly accurate retention time prediction algorithm. For high-resolution data sets this workflow identifies 38-64% chimeric spectra, which results in up to 63% more unique peptides compared to a conventional single search strategy.

Source: Journal of Proteome Research

DOI: 10.1021/acs.jproteome.7b00836

Authors: Viktoria Dorfer, Sergey Maltsev, Stephan Winkler, Karl Mechtler

Institutions: University of Applied Sciences Upper Austria, Research Institute of Molecular Pathology, Vienna Biocenter, Institute of Molecular Biotechnology, Austrian Academy of Sciences

Language: English

Topic: Advanced Proteomics Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,374

Funder: Austrian Science Fund