#Proteomics, the large-scale analysis of proteins, contributes significantly to our understanding of gene function in the post-genomic era. Proteomics can be divided into three main areas: (1) protein micro-characterization for large-scale documentation of proteins and their post-translational changes; (2) differential display'# proteomics for comparison of protein levels with potential application in a wide range of diseases; and (3) studies of protein–protein interactions using techniques such as #mass spectrometry or the yeast two-hybrid system. Proteomics technologies are under continuous progresses and new technologies are introduced. Nowadays high quantity acquisition of proteome data is possible. The young and rapidly emerging field of #bioinformatics in proteomics is presenting new algorithms to handle large and heterogeneous data sets and to improve the knowledge discovery process. Peptide libraries offer a valuable means for providing functional info regarding protein-modifying enzymes and protein interaction domains.Significantly, new computational and biochemical tools have emerged that facilitate identification of interaction associates and substrates for proteins on the basis of their peptide selectivity profiles. 
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