Abstract:
Biological sciences are experiencing an ongoing information revolution. Proteome-wide
functional classification using bioinformatics approaches is becoming an important
method for revealing unknown protein functions. Most successful computational
approaches for protein function prediction integrate multiple genomics and proteomics
data sources to make inferences about the function of unknown proteins. Research into
gene expression and proteomics enable scientists to decipher the functions of genes and
their protein products, and to get a clearer picture of the complex regulatory networks
that control fundamental biological processes. The global study of cellular proteins by
proteomics may be able to provide the complete picture. Use of proteins to study gene
function and genetic information is possibly the most reliable method but costly and
labour intensive. Analysis of gene-expression patterns is no less powerful concept than
proteomics when it comes to identification of the characteristics of signalling pathways or
disease states. This review discusses current applications of proteomics, challenges and
potential uses.
