False Discovery Rate Estimation for Cross-linked Peptides Identified by Mass Spectrometry

Overview

Journal Nat Methods

Specialties Biomedical Engineering
Pathology

Date 2012 Jul 10

PMID 22772729

Citations 170

Authors

Thomas Walzthoeni

Manfred Claassen

Alexander Leitner

Franz Herzog

Stefan Bohn

Friedrich Forster

Martin Beck

Ruedi Aebersold

Affiliations

Soon will be listed here.

Abstract

The mass spectrometric identification of chemically cross-linked peptides (CXMS) specifies spatial restraints of protein complexes; these values complement data obtained from common structure-determination techniques. Generic methods for determining false discovery rates of cross-linked peptide assignments are currently lacking, thus making data sets from CXMS studies inherently incomparable. Here we describe an automated target-decoy strategy and the software tool xProphet, which solve this problem for large multicomponent protein complexes.

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