Proteomics is the study of the complete protein complement of a cell, tissue, or organism under a precise, defined set of conditions. It is depended on technological and instrumental developments. These developments comprised of advances in mass spectrometry (MS) technology, protein fractionation techniques, bioinformatics, etc. Proteomics depends on three basic technological bases that include a method to fractionate compound protein or peptide mixtures, MS to acquire the data necessary to classify individual proteins, and bioinformatics to analyze and assemble the MS data.
Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that is produced or modified by an organism or system. Proteomics has enabled the identification of ever-increasing numbers of protein. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes. Proteomics is an interdisciplinary domain that has benefitted greatly from the genetic information of various genome projects, including the Human Genome Project.It covers the exploration of proteomes from the overall level of protein composition, structure, and activity. It is an important component of functional genomics.
Much proteomics data is collected with the help of high throughput technologies such as mass spectrometry and microarray. It would often take weeks or months to analyze the data and perform comparisons by hand. For this reason, biologists and chemists are collaborating with computer scientists and mathematicians to create programs and pipeline to computationally analyze the protein data. Using bioinformatics techniques, researchers are capable of faster analysis and data storage. A good place to find lists of current programs and databases is on the ExPASy bioinformatics resource portal. The applications of bioinformatics-based proteomics includes medicine, disease diagnosis, biomarker identification, and many more.
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