APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS

We studied the natural connections between the amino acid sequences of proteins C, prM, E and NS1 virus strains of tick-borne encephalitis (TBE) and their three phenotypic traits -neuroinvasiveness, thermal stability and thermoresistance. Coupling strength is assessed using measures of competitive s...

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Autores principales:	N. G. Zagoruyko, Yu. P. Dzhioev, I. V. Kozlova, S. E. Tkachev, Yu. S. Bukin, A. I. Paramonov, A. Yu. Borisenko, I. A. Borisova, V. I. Zlobin, O. A. Kutnenko
Formato:	article
Lenguaje:	RU
Publicado:	Scientific Сentre for Family Health and Human Reproduction Problems 2014
Materias:	tbe virus neuroinvasiveness thermal stability thermoresistance mathematical prediction methods Science Q
Acceso en línea:	https://doaj.org/article/8d0ecbb0ada44c009b2061d2eedd98b5
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spelling	oai:doaj.org-article:8d0ecbb0ada44c009b2061d2eedd98b52021-11-23T06:14:31ZAPPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS2541-94202587-9596https://doaj.org/article/8d0ecbb0ada44c009b2061d2eedd98b52014-11-01T00:00:00Zhttps://www.actabiomedica.ru/jour/article/view/1844https://doaj.org/toc/2541-9420https://doaj.org/toc/2587-9596We studied the natural connections between the amino acid sequences of proteins C, prM, E and NS1 virus strains of tick-borne encephalitis (TBE) and their three phenotypic traits -neuroinvasiveness, thermal stability and thermoresistance. Coupling strength is assessed using measures of competitive sequence similarity of each strain with reference strains. For such purposes subsets of strain sections are chosen amino acid composition specifics of which can predict the value of a phenotypic trait of interest. The possibility to predict missing elements in data both in amino acid composition, and in target properties is demonstrated. The relationships between pairs of phenotypic traits of strains were evaluated.N. G. ZagoruykoYu. P. DzhioevI. V. KozlovaS. E. TkachevYu. S. BukinA. I. ParamonovA. Yu. BorisenkoI. A. BorisovaV. I. ZlobinO. A. KutnenkoScientific Сentre for Family Health and Human Reproduction Problemsarticletbe virusneuroinvasivenessthermal stabilitythermoresistancemathematical prediction methodsScienceQRUActa Biomedica Scientifica, Vol 0, Iss 6, Pp 89-95 (2014)
institution	DOAJ
collection	DOAJ
language	RU
topic	tbe virus neuroinvasiveness thermal stability thermoresistance mathematical prediction methods Science Q
spellingShingle	tbe virus neuroinvasiveness thermal stability thermoresistance mathematical prediction methods Science Q N. G. Zagoruyko Yu. P. Dzhioev I. V. Kozlova S. E. Tkachev Yu. S. Bukin A. I. Paramonov A. Yu. Borisenko I. A. Borisova V. I. Zlobin O. A. Kutnenko APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
description	We studied the natural connections between the amino acid sequences of proteins C, prM, E and NS1 virus strains of tick-borne encephalitis (TBE) and their three phenotypic traits -neuroinvasiveness, thermal stability and thermoresistance. Coupling strength is assessed using measures of competitive sequence similarity of each strain with reference strains. For such purposes subsets of strain sections are chosen amino acid composition specifics of which can predict the value of a phenotypic trait of interest. The possibility to predict missing elements in data both in amino acid composition, and in target properties is demonstrated. The relationships between pairs of phenotypic traits of strains were evaluated.
format	article
author	N. G. Zagoruyko Yu. P. Dzhioev I. V. Kozlova S. E. Tkachev Yu. S. Bukin A. I. Paramonov A. Yu. Borisenko I. A. Borisova V. I. Zlobin O. A. Kutnenko
author_facet	N. G. Zagoruyko Yu. P. Dzhioev I. V. Kozlova S. E. Tkachev Yu. S. Bukin A. I. Paramonov A. Yu. Borisenko I. A. Borisova V. I. Zlobin O. A. Kutnenko
author_sort	N. G. Zagoruyko
title	APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
title_short	APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
title_full	APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
title_fullStr	APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
title_full_unstemmed	APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS
title_sort	application of mathematical method predictions for identification of patterns relations mutations in proteins encephalitis virus and a manifestation of its phenotypic traits
publisher	Scientific Сentre for Family Health and Human Reproduction Problems
publishDate	2014
url	https://doaj.org/article/8d0ecbb0ada44c009b2061d2eedd98b5
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APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITS

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