Abstract

A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.

Keywords

AndromedaPeptideChemistryBusinessComputer scienceBiochemistry

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Publication Info

Year
2011
Type
article
Volume
10
Issue
4
Pages
1794-1805
Citations
5689
Access
Closed

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Jürgen Cox, Nadin Neuhauser, Annette Michalski et al. (2011). Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment. Journal of Proteome Research , 10 (4) , 1794-1805. https://doi.org/10.1021/pr101065j

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DOI
10.1021/pr101065j