Data/hora: 13/06/2024 01:03:47

Provedor de dados: 	Nature Precedings	
País: 	United Kingdom	
Título: 	A Quantitative Model for Human Olfactory Receptors	
Autores: 	Sk. Sarif  Hassan; Pabitra  Pal Choudhury; Aritra Bose.	
Data: 	2012-03-03	
Ano: 	2012	
Palavras-chave: 	Genetics &amp; Genomics; Bioinformatics.	
Resumo: 	A wide variety of chemicals having distinct odors are smelled by humans. Odor perception initiates in the nose, where it is detected by a large family of olfactory receptors (ORs). Based on divergence of evolutionary model a sequence of human ORs database has been proposed by D. Lancet et al (2000, 2006).  It is quite impossible to infer whether a given sequence of nucleotides is a human OR or not, without any biological experimental validation. In our perspective, a proper quantitative understanding of these ORs is required to justify or nullify whether a given sequence is a human OR or not. In this paper, all human OR sequences have been quantified, and a set of clusters have been made using the quantitative results based on two different metrics. Using this proposed quantitative model, one can easily make probable justification or deterministic nullification whether a given sequence of nucleotides is a probable human OR homologue or not, without seeking any biological experiment. Of course a further biological experiment is essential to validate the probable human OR homologue.	
Tipo: 	Manuscript	
Identificador: 	http://precedings.nature.com/documents/6967/version/1

oai:nature.com:10101/npre.2012.6967.1

http://hdl.handle.net/10101/npre.2012.6967.1	
Fonte: 	Nature Precedings	
Fonte: 	Creative Commons Attribution 3.0 License