Asian Journal of Microbiology, Biotechnology & Environmental Sciences Paper

Vol 18, Issue 3, 2016; Page No.(679-682)

VISUALIZATION OF APOPTOTIC NETWORK USING BIOINFORMATICS TOOL

RASHMI RAMESHWARI , SHILPA S. CHAPADGAONKAR AND T.V. PRASAD

Abstract

Apoptosis is the programmed death of cells which occurs naturally in the organism. When this normal process of cell death is disturbed it results in the disruption of homeostasis in the body. Abnormality in apoptosis has been linked to many diseases like cancer, neurodegenerative disease and autoimmune diseases. Apoptotic cell death is step wise regulated events. To understand the complete process the analysis should be done at molecular level. With the advancement in technology it is possible to simulate the apoptotic molecules and visualize them using software tools. Computer generated biological networks plays major role in establishing the holistic approach of systems biology. Visualization brings about a picture of the molecules involved in apoptotic pathway and it becomes easy to find out the molecules which are closely related to the process and can be selectively targeted in the therapeutic process. Cytoscape is one such tool which simulates the biological network. This software can explore the different features of networks, and connect the networks with databases of (KEGG pathway, MINT, chEMBL, UNIPROT) the horizon for analysis wideness. Network visualized using cytoscape helps to find the link between molecules like bcl2, caspases, TNF etc., which stimulate the pathway. The aim is to target those genes in the tumor cells which stimulate the cell death process and will help to selectively activate their cell death in them. Cytoscape allows to refine the visualization with the help of different layouts which brings about a clarity in the network, one of the important advantage of cytoscape being that it can directly link to the database which gives an easy accessibility of the results from different database and it merges all of them automatically to give final network

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