Database Searching in Mass Spectrometry Based Proteomics

被引：15

作者：

Kertesz-Farkas, Attila ^{[1
]}

Reiz, Beata ^{[2
,3
]}

Myers, Michael P.

Pongor, Sandor ^{[2
]}

机构：

[1] Int Ctr Genet Engn & Biotechnol, Prot Struct & Bioinformat Grp, I-34012 Trieste, Italy

[2] Szeged Biol Ctr, H-6720 Szeged, Hungary

[3] Univ Szeged, Inst Informat, H-6720 Szeged, Hungary

来源：

CURRENT BIOINFORMATICS | 2012年 / 7卷 / 02期

关键词：

Database search; Mass spectrometry; Protein identification; Proteomics; AMINO-ACID-SEQUENCES; PROTEIN IDENTIFICATION; PEPTIDE IDENTIFICATION; SPECTRAL DATA; STATISTICAL SIGNIFICANCE; IMPROVING SENSITIVITY; TANDEM; VALIDATION; MODEL; LIBRARIES;

D O I：

10.2174/157489312800604354

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Bottom-up proteomics (mass spectrometry analysis of peptides obtained by proteolysis and separated by liquid chromatography, (LC-MS/MS)) is one of the most frequently used techniques for identifying and characterizing proteins in biological samples. A key element of the analysis is database searching when the mass spectra of the peptides are compared with a database of theoretically computed (or experimental) peptide spectra. Here we discuss the main computational approaches to spectrum database searching and the statistical analysis of the results.

引用

页码：221 / 230

页数：10

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