Computational approach of protein analysis using affinity chromatography: application to proteomics

Abstract

Computerization is necessary to build the database of chromatography coupled mass spectrometric
analytical data. On the basis of this proteomic data we can identify the proteins as biomarkers which
are expressing dissimilarity between healthy and disease condition. Affinity chromatography is one of
the fastest liquid chromatographic methods for the separation and purification of biomolecules due to
its high molecular specificity. Proteomics and the tools used to identify and understand the
biochemistry of proteins and pathways are in a new stage of development and evaluation. This article
briefly reviews the computation of chromatography coupled mass spectrometric data and highlighting
the role of affinity chromatography