Datamining In Proteomics Review Journals
Proteomics is the large-scale study of proteins. Proteins are important parts of living organisms, with many functions. The proteome is that the entire set of proteins that's produced or modified by an organism or system. Proteomics has enabled the identification of ever increasing numbers of protein. Proteomics relies on three basic technological cornerstones that include how to fractionate complex protein or
peptide mixtures, MS to accumulate the data necessary to identify individual
proteins, and
bioinformatics to analyze and assemble the MS data. Proteomics typically gives us a far better understanding of an organism than genomics. First, the extent of transcription of a
gene gives only a rough estimate of its level of expression into a protein. An mRNA produced in abundance may be degraded rapidly or translated inefficiently, resulting in a small amount of protein. Proteomics is employed to detect protein expression patterns at a given time in response to a selected stimulus, but also to work out functional protein networks that exist at the level of the cell, tissue, or whole organism. Interaction proteomics is that the analysis of protein interactions from scales of binary interactions to proteome- or network-wide. Most proteins function via protein–protein interactions, and one goal of interaction proteomics is to spot binary protein interactions, protein complexes, and interactomes.
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