Document Detail


Neural network prediction of peptide separation in strong anion exchange chromatography.
MedLine Citation:
PMID:  17092987     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
MOTIVATION: The still emerging combination of technologies that enable description and characterization of all expressed proteins in a biological system is known as proteomics. Although many separation and analysis technologies have been employed in proteomics, it remains a challenge to predict peptide behavior during separation processes. New informatics tools are needed to model the experimental analysis method that will allow scientists to predict peptide separation and assist with required data mining steps, such as protein identification. RESULTS: We developed a software package to predict the separation of peptides in strong anion exchange (SAX) chromatography using artificial neural network based pattern classification techniques. A multi-layer perceptron is used as a pattern classifier and it is designed with feature vectors extracted from the peptides so that the classification error is minimized. A genetic algorithm is employed to train the neural network. The developed system was tested using 14 protein digests, and the sensitivity analysis was carried out to investigate the significance of each feature. AVAILABILITY: The software and testing results can be downloaded from ftp://ftp.bbc.purdue.edu.
Authors:
Cheolhwan Oh; Stanislaw H Zak; Hamid Mirzaei; Charles Buck; Fred E Regnier; Xiang Zhang
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2006-11-08
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  23     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2007 Jan 
Date Detail:
Created Date:  2006-12-20     Completed Date:  2007-02-05     Revised Date:  2009-11-04    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  England    
Other Details:
Languages:  eng     Pagination:  114-8     Citation Subset:  IM    
Affiliation:
Bindley Bioscience Center, West Lafayette, IN 47907, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Bacterial Proteins / isolation & purification
Cattle
Chickens
Chromatography, Ion Exchange / methods*
Horses
Humans
Models, Molecular
Neural Networks (Computer)*
Peptide Mapping
Peptides / isolation & purification*
Proteomics
Rabbits
Chemical
Reg. No./Substance:
0/Bacterial Proteins; 0/Peptides

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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