Abstract
AbstractAs per conservative estimate, approximately (51-105) Olfactory Receptors (ORs) loci are present in human genome occurring in clusters. These clusters are apparently unevenly spread as mosaics over 21 pair of human chromosomes. Olfactory Receptor (OR) gene families which are thought to have expanded for the need to provide recognition capability for huge number of pure and complex odorants. ORs form the largest known multi-gene family in the human genome. Recent studies have shown that 388 full length and 414 OR pseudo-genes are present in these OR genomic clusters. In this paper, the authors report a classification method for all human ORs based on their sequential quantitative information like presence of poly strings of nucleotides bases, long range correlation and so on. An L-System generated sequence has been taken as an input into a star-model of specific subfamily members and resultant sequence has been mapped to a specific OR based on the classification scheme using fractal parameters like Hurst exponent and fractal dimensions.
Highlights
Humans can detect a very large number of odor molecules and give output as distinct sets
HORDE database used in this study have used a nomenclature which is not sufficient enough to cover all the kinds of receptors that have been found in nature inside human nose
We have found the following data corresponding to the Resultant Sequence (RS-1): Nucleotide Texture (NT)
Summary
Humans can detect a very large number of odor molecules (water or air borne; pure or mixed) and give output as distinct sets. Nasal epitheliums house a large repertoire of seven transmembrane domain G protein coupled olfactory receptor (ORs) These receptors have been described to have diverse protein sequences. The present authors do not believe for many reasons that these are uneven distributions It is a strong conviction of the authors that there is beautiful organization followed by some mathematical governess in diversification of human ORs in different loci. Using a number of mathematical methodologies, in this paper, the authors report that it is possible to find relationship between apparently unrelated ORs located in different chromosome. This hitherto has not been studied and this is the first report to the best of knowledge of authors
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