IDFraIP:A Novel Protein Identification Algorithm Based on Fragment Intensity Patterns

DOI

10.2991/meita-15.2015.110How to use a DOI?

Keywords

Protein Identification Algorithm; Intensity Patterns; MS/MS; Database Search

Abstract

A Identifying peptides for their fragmentation spectra by database search sequencing method is crucial to interpret LC-MS/MS data, widely used algorithms had not been fully exploited the intensity patterns in fragment spectra, SQID incorporated intensity information and identified peptides significantly more peptides than Sequest and X!Tandem. Although SQID adopted various datasets which based on different platforms to show its robustness and effectiveness, many other characterizes were not considered. This article utilized intensity pattern modeling which had been reported by SQID, proposed a novel scoring model to identify fragment spectra. Compared with SQID and Sequest at 1% False Discovery Rate (FDR), IDFraIP identified more confident peptides and spectra.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Simin Zhu
AU  - Huamei Li
AU  - Kai Zheng
AU  - Xiaozhou Chen
PY  - 2015/08
DA  - 2015/08
TI  - IDFraIP:A Novel Protein Identification Algorithm Based on Fragment Intensity Patterns
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 601
EP  - 604
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.110
DO  - 10.2991/meita-15.2015.110
ID  - Zhu2015/08
ER  -