串联质谱法
化学
软件
质谱法
肽
计算生物学
串联
肽序列
序列(生物学)
组合化学
色谱法
计算机科学
生物化学
生物
基因
复合材料
材料科学
程序设计语言
作者
Bin Ma,Kaizhong Zhang,Christopher Hendrie,Chengzhi Liang,Ming Li,Amanda Doherty‐Kirby,Gilles Lajoie
摘要
Abstract A number of different approaches have been described to identify proteins from tandem mass spectrometry (MS/MS) data. The most common approaches rely on the available databases to match experimental MS/MS data. These methods suffer from several drawbacks and cannot be used for the identification of proteins from unknown genomes. In this communication, we describe a new de novo sequencing software package, PEAKS, to extract amino acid sequence information without the use of databases. PEAKS uses a new model and a new algorithm to efficiently compute the best peptide sequences whose fragment ions can best interpret the peaks in the MS/MS spectrum. The output of the software gives amino acid sequences with confidence scores for the entire sequences, as well as an additional novel positional scoring scheme for portions of the sequences. The performance of PEAKS is compared with Lutefisk, a well‐known de novo sequencing software, using quadrupole‐time‐of‐flight (Q‐TOF) data obtained for several tryptic peptides from standard proteins. Copyright © 2003 John Wiley & Sons, Ltd.
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