Datamining methodology for LC-MALDI-MS based peptide profiling

This report will provide a brief overview of the application of data mining in proteomic peptide profiling used for medical biomarker research. Mass spectrometry based profiling of peptides and proteins is frequently used to distinguish disease from non-disease groups and to monitor and predict drug...

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Bibliographic Details
Published inCombinatorial chemistry & high throughput screening Vol. 8; no. 8; p. 717
Main Authors Zucht, Hans-Dieter, Lamerz, Jens, Khamenia, Valery, Schiller, Carsten, Appel, Annette, Tammen, Harald, Crameri, Reto, Selle, Hartmut
Format Journal Article
LanguageEnglish
Published United Arab Emirates 01.12.2005
Subjects
Animals
Computational Biology
Data Interpretation, Statistical
Databases, Genetic
Humans
Peptides - chemistry
Proteomics
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
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Summary:This report will provide a brief overview of the application of data mining in proteomic peptide profiling used for medical biomarker research. Mass spectrometry based profiling of peptides and proteins is frequently used to distinguish disease from non-disease groups and to monitor and predict drug effects. It has the promising potential to enter clinical laboratories as a general purpose diagnostic tool. Data mining methodologies support biomedical science to manage the vast data sets obtained from these instrumentations. Here we will review the typical workflow of peptide profiling, together with typical data mining methodology. Mass spectrometric experiments in peptidomics raise numerous questions in the fields of signal processing, statistics, experimental design and discriminant analysis.
ISSN:1386-2073
DOI:10.2174/138620705774962481