pFind-Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data
Chi, Hao2; He, Kun2; Yang, Bing3; Chen, Zhen1; Sun, Rui-Xiang2; Fan, Sheng-Bo2; Zhang, Kun2; Liu, Chao2; Yuan, Zuo-Fei2; Wang, Quan-Hui1
刊名JOURNAL OF PROTEOMICS
2015-07-01
卷号125页码:89-97
关键词Unrestricted database search Ion index In-depth interpretation High resolution MS/MS
ISSN号1874-3919
DOI10.1016/j.jprot.2015.05.009
英文摘要Database search is the dominant approach in high-throughput proteomic analysis. However, the interpretation rate of MS/MS spectra is very low in such a restricted mode, which is mainly due to unexpected modifications and irregular digestion types. In this study, we developed a new algorithm called Alioth, to be integrated into the search engine of pFind, for fast and accurate unrestricted database search on high-resolution MS/MS data. An ion index is constructed for both peptide precursors and fragment ions, by which arbitrary digestions and a single site of any modifications and mutations can be searched efficiently. A new re-ranking algorithm is used to distinguish the correct peptide-spectrum matches from random ones. The algorithm is tested on several HCD datasets and the interpretation rate of MS/MS spectra using Alioth is as high as 60%-80%. Peptides from semi- and non-specific digestions, as well as those with unexpected modifications or mutations, can be effectively identified using Alioth and confidently validated using other search engines. The average processing speed of Alioth is 5-10 times faster than some other unrestricted search engines and is comparable to or even faster than the restricted search algorithms tested. (C) 2015 Elsevier B.V. All rights reserved.
资助项目National Key Basic Research and Development Program of China (973)[2013CB911203] ; National Key Basic Research and Development Program of China (973)[2012CB910602] ; National Key Basic Research and Development Program of China (973)[2010CB912701] ; National High Technology Research and Development Program of China (863)[2014AA020902] ; National High Technology Research and Development Program of China (863)[2014AA020901] ; CAS Knowledge Innovation Program[KGCX1-YW-13] ; CAS Knowledge Innovation Program[ICT-20126033]
WOS研究方向Biochemistry & Molecular Biology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000357243000008
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/9627]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者He, Si-Min
作者单位1.Chinese Acad Sci, Beijing Inst Genom, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
3.Natl Inst Biol Sci, Beijing 102206, Peoples R China
推荐引用方式
GB/T 7714
Chi, Hao,He, Kun,Yang, Bing,et al. pFind-Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data[J]. JOURNAL OF PROTEOMICS,2015,125:89-97.
APA Chi, Hao.,He, Kun.,Yang, Bing.,Chen, Zhen.,Sun, Rui-Xiang.,...&He, Si-Min.(2015).pFind-Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data.JOURNAL OF PROTEOMICS,125,89-97.
MLA Chi, Hao,et al."pFind-Alioth: A novel unrestricted database search algorithm to improve the interpretation of high-resolution MS/MS data".JOURNAL OF PROTEOMICS 125(2015):89-97.
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