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A discriminant based charge deconvolution analysis pipeline for protein profiling of whole cell extracts using liquid
Weiying Lu1, John H Callahan, Frederick S Fry
1Center for Intelligent Chemical Instrumentation, Clippinger Laboratories, Department of Chemistry and Biochemistry, OHIO University, Athens, OH 45701-2979, USA.
Abstract:
A discriminant based charge deconvolution analysis pipeline is proposed. The molecular weight determination (MoWeD) charge deconvolution method was applied directly to the discrimination rules obtained by the fuzzy rule-building expert system (FuRES) pattern classifier. This approach was demonstrated with synthetic electrospray ionization-mass spectra. Identification of the tentative protein biomarkers by bacterial cell extracts of Salmonella enterica serovar typhimurium strains A1 and A19 by liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS) was also demonstrated. The data analysis time was reduced by applying this approach. In addition, this method was less affected by noise and baseline drift.
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