Proteomic data mining using predicted peptide chromatographic retention times.

Proteomic data mining using predicted peptide chromatographic retention times. Research Abstract Details 

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Proteomic data mining using predicted peptide chromatographic retention times. Abstract Text:

Brian Tripet,Megha Renuka Jayadev,Don Blow,Cao Nguyen,Robert Hodges,Krzysztof Cios,Brian Tripet,Megha Renuka Jayadev,Don Blow,Cao Nguyen,Robert Hodges,Krzysztof Cios,Brian Tripet,Megha Renuka Jayadev,Don Blow,Cao Nguyen,Robert Hodges,Krzysztof Cios,

Correct identification of proteins from peptide fragments is important for proteomic analyses. Peptides are initially separated by Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) before Mass Spectrometry (MS) identification. At the present time, peptide fragment retention (separation) time is not used as a useful scoring filter for identification of the peptide fragments and their parent proteins. In the present paper, we present a new web-based tool for the prediction of peptide fragment retention times and its use in compiling a database of approximately 133,000 peptide fragments computationally obtained by digestion with trypsin of 4,265 E. coli ? K12 proteins. The retention calculation is based on the described formulae and the fragments/protein identification was carried out using a simple search-scoring algorithm.

Proteomic data mining using predicted peptide chromatographic retention times. Publishing Authors By Initials

B Tripet,M Renuka Jayadev,D Blow,C Nguyen,R Hodges,K Cios,B Tripet,M Renuka Jayadev,D Blow,C Nguyen,R Hodges,K Cios,B Tripet,M Renuka Jayadev,D Blow,C Nguyen,R Hodges,K Cios,

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Proteomic data mining using predicted peptide chromatographic retention times. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: International journal of bioinformatics research a

VOLUME: 3

Page Numbers: 431-45

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ISSN: 1744-5485

DAY: 30

MONTH: 11

YEAR: 2007

Proteomic data mining using predicted peptide chromatographic retention times. Information

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LANGUAGE: eng

NlmUniqueID: 101253758

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Grant and Affiliation Information for Proteomic data mining using predicted peptide chromatographic retention times.

AFFILIATION: Department of Biochemistry and Molecular Genetics, University of Colorado at Denver and Health Sciences Center, Aurora, CO 80045, USA.

Country: Switzerland

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MEDLINETA: Int J Bioinform Res Appl

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