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A Quantitative Model for Human Olfactory Receptors
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  • Published: 07 March 2012

A Quantitative Model for Human Olfactory Receptors

  • Sk. Sarif Hassan1,
  • Pabitra Pal Choudhury1 &
  • Aritra Bose1 

Nature Precedings (2012)Cite this article

  • 224 Accesses

  • 3 Citations

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Abstract

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.

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Authors and Affiliations

  1. Applied Statistics Unit, Indian Statistical Instutute, Calcutta, India

    Sk. Sarif Hassan, Pabitra Pal Choudhury & Aritra Bose

Authors
  1. Sk. Sarif Hassan
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  2. Pabitra Pal Choudhury
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  3. Aritra Bose
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Corresponding authors

Correspondence to Sk. Sarif Hassan, Pabitra Pal Choudhury or Aritra Bose.

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Hassan, S., Pal Choudhury, P. & Bose, A. A Quantitative Model for Human Olfactory Receptors. Nat Prec (2012). https://doi.org/10.1038/npre.2012.6967.2

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  • Received: 06 March 2012

  • Accepted: 07 March 2012

  • Published: 07 March 2012

  • DOI: https://doi.org/10.1038/npre.2012.6967.2

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Keywords

  • Human Olfactory Receptors
  • Fractal dimension
  • Hurst exponent
  • Gene Therapy and Chaos Game representations
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