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
收藏
页码：221 / 230
页数：10
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