Research Article
A Simulation based Approach for Detection of Retinitis Pigmentosa using Protein Synthesis
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 66 - Issue 24 |
| Published: March 2013 |
| Authors: Pronami Bora, Hemashree Bordoloi |
10.5120/11279-6562
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Pronami Bora, Hemashree Bordoloi . A Simulation based Approach for Detection of Retinitis Pigmentosa using Protein Synthesis. International Journal of Computer Applications. 66, 24 (March 2013), 54-58. DOI=10.5120/11279-6562
@article{ 10.5120/11279-6562,
author = { Pronami Bora,Hemashree Bordoloi },
title = { A Simulation based Approach for Detection of Retinitis Pigmentosa using Protein Synthesis },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 66 },
number = { 24 },
pages = { 54-58 },
doi = { 10.5120/11279-6562 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Pronami Bora
%A Hemashree Bordoloi
%T A Simulation based Approach for Detection of Retinitis Pigmentosa using Protein Synthesis%T
%J International Journal of Computer Applications
%V 66
%N 24
%P 54-58
%R 10.5120/11279-6562
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Proteins are the basis of all organisms. Abnormality on any part of the human body can easily be detected by referring to the protein structure on that particular part. To determine any deformation in the protein structure different experimental techniques are used. Human eye is the most sensitive organ of human body. As in all parts of the body, it also contains proteins. Peripherin 2 is the most distinct protein in human eye. It is found in the rod and cone cells of the retina of the eye. This protein is encoded by PRPH2 gene. Any deformation in this protein results in one important eye disease known as retinitis pigmentosa (RP7). The person with this disease suffers from incurable blindness. In this paper, a technique is developed to detect any deformation in the structure of Peripherin2 protein by implementing three classifiers. The first classifier detects the chemical components of the amino acids then detects the amino acids and finally the system recognizes the Peripherin2 protein and the changes that occur in the chemical structure of peripherin2 during retinitis pigmentosa.
References
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