Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment

被引:4253
作者
Cox, Juergen [1 ]
Neuhauser, Nadin [1 ]
Michalski, Annette [1 ]
Scheltema, Richard A. [1 ]
Olsen, Jesper V. [2 ]
Mann, Matthias [1 ,2 ]
机构
[1] Max Planck Inst Biochem, Dept Prote & Signal Transduct, D-82152 Martinsried, Germany
[2] Univ Copenhagen, Fac Hlth Sci, Novo Nordisk Fdn Ctr Prot Res, DK-2200 Copenhagen, Denmark
关键词
tandem MS; search engine; spectrum scoring; post-translational modifications; mass accuracy; collision induced dissociation; higher-energy collisional dissociation; Orbitrap; SPECTROMETRY-BASED PROTEOMICS; TANDEM MASS-SPECTRA; LARGE-SCALE PROTEOMICS; PROTEIN IDENTIFICATION; QUANTITATIVE PROTEOMICS; COMPUTATIONAL-PROTEOMICS; STATISTICAL VALIDATION; SEQUENCE DATABASES; SIGNALING NETWORKS; DATA SETS;
D O I
10.1021/pr101065j
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
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.maxquantorg. 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.
引用
收藏
页码:1794 / 1805
页数:12
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