A model of random sequences for de novo peptide sequencing

被引：6

作者：

Jarman, KD ^{[1
]}

Cannon, WR ^{[1
]}

Jarman, KH ^{[1
]}

Heredia-Langner, A ^{[1
]}

机构：

[1] Pacific NW Natl Lab, Richland, WA 99352 USA

来源：

THIRD IEEE SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING - BIBE 2003, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/BIBE.2003.1188948

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We present a model for the probability of random sequences appearing in product ion spectra obtained from tandem mass spectrometry experiments using collision-induced dissociation. We demonstrate the use of these probabilities for ranking candidate peptide sequences obtained using a de novo algorithm. Sequence candidates are obtained from a spectrum graph that is greatly reduced in size from those in previous graphtheoretical de novo approaches. Evidence of multiple instances of subsequences of each candidate, due to different fragment ion type series as well as isotopic peaks, is incorporated in a hierarchical scoring scheme. This approach is shown to be useful for confirming results from database search and as a first step towards a statistically rigorous de novo algorithm.

引用

页码：206 / 213

页数：8

共 18 条

[1]

[Anonymous], 1993, Statistical Theory

[2] FAST ALGORITHM FOR PEPTIDE SEQUENCING BY MASS-SPECTROSCOPY [J].