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An attempt to understand Barstar, Barnase and Olfactory receptor protein folding problems using mathematical biological approach Nature Precedings
Arunava Goswami; Sk Sarif Hassan; Pabitra Pal Choudhury.
Protein folding problem as attracted structural biologists immensely (1). Till date, correlation between X-ray crystallographic and NMR data are considered to be the best methods for determining structure of intra-cellular proteins. Generating crystals and finding correct experimental conditions for NMR are largly a gamble and resultant data processing highly time consuming. Even if, a large number of laboratories around the world and India make crystals of protein but majority of them fail to generate crystallographic data less than or equal to 10A resolution with currently available instruments. This means that X-ray crystallographic data have been generated from protein crystals with non-uniform lattices. We believe that a large portion of (chain of...
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4891/version/1
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A Quantitative Model for Human Olfactory Receptors Nature Precedings
Sk. Sarif Hassan; Pabitra Pal Choudhury; Aritra Bose.
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...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Bioinformatics.
Ano: 2012 URL: http://precedings.nature.com/documents/6967/version/1
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A Quantitative Model for Human Olfactory Receptors Nature Precedings
Sk. Sarif Hassan; Pabitra Pal Choudhury; Aritra Bose.
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...
Tipo: Manuscript Palavras-chave: Genetics & Genomics; Bioinformatics.
Ano: 2012 URL: http://precedings.nature.com/documents/6967/version/2
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Underlying Mathematics in Diversification of Human Olfactory Receptors in Different Loci Nature Precedings
Sk. Sarif Hassan; Pabitra Pal Choudhury; Arunava Goswami.
As 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...
Tipo: Manuscript Palavras-chave: Biotechnology; Genetics & Genomics; Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/5475/version/1
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