In silico approach to evaluate evolutionary relatedness of significant Lung cancer proteins.
Date
2012-11
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Abstract
Lung cancer is feared to be deadly and is caused due to the involvement of a cascade of proteins
significant among which are EPAS1, Thrombomodulin, Metallothionein and Matrix Metallo Proteinase.
The evolutionary aspects of these proteins are important to study the extent of conservation and mutation
across different generations in diverse species. The rooted and unrooted tree would depict the relatedness
among organisms and the ancestor of the organisms involved in the study. The evolutionary histories of
groups of species are one of the most widely used tools throughout the life sciences, as well as objects of
research with in systematic, evolutionary biology. In every phylogenetic analysis reconstruction produces
trees. These trees represent the evolutionary histories of many groups of organisms, bacteria due to
horizontal gene transfer and plants due to process of hybridization. Through comparison with several
species of healthy organism, one may determine where the defective mutation is located, and then
determine how to treat the disease. This strategy may help us to identify the mutations that had occurred
in evolutionary conserved residues. We feel this method can be useful for understanding evolutionary rate
variation, and for understanding selection variation on different characters. The various tree topologies
along with their significant homolog’s would enable a thorough understanding of the disease.
Description
Keywords
Lung cancer, EPAS1, Thrombomodulin, Metallothionein and Matrix MetalloProteinase, Phylogenetics
Citation
Bhagavathi S, Wadhwa Gulshan, Prakash Anil. In silico approach to evaluate evolutionary relatedness of significant Lung cancer proteins. Journal of Applied Pharmaceutical Science. 2012 Nov; 2(11): 84-91.