KCS

Proteomics is the research field where it is possible to produce the high-throughput proteome data in high speed. In this study, we got the MS/MS spectra for the Pseudomonas putida KT2440 sample by LTQ/LTQ/MS and then computed the peptides identification by the database search software, SEQUEST using the computer server of 32 CPU SEQUEST-Cluster. We have found that these scores are not enough to distinguish the correct peptides from incorrect ones and we proposed another new descriptor, MWcorr to refine the SEQUEST result. MWcorr represents the protein correlation of molecular weight between the 1D-gel based experimental MW (MWexp) and the theoretical MW (MWcal) of predicted protein. This task necessarily definition exact region of MWcorr from statistical model of distribution true positive proteins.