科研之友
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摘要
Proteomics is the study of structural and functional endowment of cells, tissues or organs. This science brings together powerful tools-physical separation techniques like 2-D electrophoresis and mass spectroscopy. It also includes various monoclonal antibodies and other probes coupled with which analysis is done by systems biology approach using modern software. Various statistical, probabilistic, humanistic and artificial neural network algorithms and at the same time incorporating elements of chaos and fractal theories are used to study the interactions of multitude of proteins in the cell. This allows separation of large background noise of high concentration proteins inside the cell from pathobiologically and aetiologically relevant protein molecules present in nano, femto or even atto molar concentrations. Pattern recognition algorithms in modern proteomic techniques will help in understanding aetiopathogenesis of disease, discovering diagnostically and prognostically important biomarkers and molecular targets for future drug discovery. These techniques will have important applications in autoimmune disorders and other disorders which are in general difficult to manage. The present review shows how proteomic approach can illuminate various facets of these groups of elusive disorders in near future.
- 出版日期2010-1
