Analysis of long-range correlation in sequences data of proteins

The results presented here suggest the existence of correlations in the sequence data of proteins. 32 proteins, both globular and fibrous, both monomeric and polymeric, were analyzed. The primary structures of these proteins were treated as time series. Three spatial series of data for each sequence...

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Main Authors: Isvoran Adriana, Unipan Laura, Craciun Dana, Morariu Vasile
Format: Article
Language:English
Published: Serbian Chemical Society 2007-01-01
Series:Journal of the Serbian Chemical Society
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0352-5139/2007/0352-51390704383I.pdf
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spelling doaj-de786e9725bb4b39ac01ad47bf081f5c2020-12-24T14:32:01ZengSerbian Chemical Society Journal of the Serbian Chemical Society0352-51391820-74212007-01-0172438339210.2298/JSC0704383I0352-51390704383IAnalysis of long-range correlation in sequences data of proteinsIsvoran Adriana0Unipan Laura1Craciun Dana2Morariu Vasile3West University of Timisoara, Department of Chemistry, Timisoara, RomaniaUniversity of Agricultural Sciences of Banat, Department of Agriculture, Timisoara, RomaniaWest University of Timisoara, Teacher Training Department, Timisoara, RomaniaNational R&D Institute for Isotopic and Molecular Technology, Department of Molecular and Biomolecular Physics, Cluj Napoca, RomaniaThe results presented here suggest the existence of correlations in the sequence data of proteins. 32 proteins, both globular and fibrous, both monomeric and polymeric, were analyzed. The primary structures of these proteins were treated as time series. Three spatial series of data for each sequence of a protein were generated from numerical correspondences between each amino acid and a physical property associated with it, i.e., its electric charge, its polar character and its dipole moment. For each series, the spectral coefficient, the scaling exponent and the Hurst coefficient were determined. The values obtained for these coefficients revealed non-randomness in the series of data. .http://www.doiserbia.nb.rs/img/doi/0352-5139/2007/0352-51390704383I.pdfsequences of proteinslong-range correlationspectral coefficientscaling exponenthurst coefficient
collection DOAJ
language English
format Article
sources DOAJ
author Isvoran Adriana
Unipan Laura
Craciun Dana
Morariu Vasile
spellingShingle Isvoran Adriana
Unipan Laura
Craciun Dana
Morariu Vasile
Analysis of long-range correlation in sequences data of proteins
Journal of the Serbian Chemical Society
sequences of proteins
long-range correlation
spectral coefficient
scaling exponent
hurst coefficient
author_facet Isvoran Adriana
Unipan Laura
Craciun Dana
Morariu Vasile
author_sort Isvoran Adriana
title Analysis of long-range correlation in sequences data of proteins
title_short Analysis of long-range correlation in sequences data of proteins
title_full Analysis of long-range correlation in sequences data of proteins
title_fullStr Analysis of long-range correlation in sequences data of proteins
title_full_unstemmed Analysis of long-range correlation in sequences data of proteins
title_sort analysis of long-range correlation in sequences data of proteins
publisher Serbian Chemical Society
series Journal of the Serbian Chemical Society
issn 0352-5139
1820-7421
publishDate 2007-01-01
description The results presented here suggest the existence of correlations in the sequence data of proteins. 32 proteins, both globular and fibrous, both monomeric and polymeric, were analyzed. The primary structures of these proteins were treated as time series. Three spatial series of data for each sequence of a protein were generated from numerical correspondences between each amino acid and a physical property associated with it, i.e., its electric charge, its polar character and its dipole moment. For each series, the spectral coefficient, the scaling exponent and the Hurst coefficient were determined. The values obtained for these coefficients revealed non-randomness in the series of data. .
topic sequences of proteins
long-range correlation
spectral coefficient
scaling exponent
hurst coefficient
url http://www.doiserbia.nb.rs/img/doi/0352-5139/2007/0352-51390704383I.pdf
work_keys_str_mv AT isvoranadriana analysisoflongrangecorrelationinsequencesdataofproteins
AT unipanlaura analysisoflongrangecorrelationinsequencesdataofproteins
AT craciundana analysisoflongrangecorrelationinsequencesdataofproteins
AT morariuvasile analysisoflongrangecorrelationinsequencesdataofproteins
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