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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Format: | Article |
Language: | Russian |
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Scientific Сentre for Family Health and Human Reproduction Problems
2014-11-01
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Series: | Acta Biomedica Scientifica |
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Online Access: | https://www.actabiomedica.ru/jour/article/view/1844 |
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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 |
collection | DOAJ |
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. |
first_indexed | 2024-03-08T12:20:06Z |
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id | doaj.art-8d0ecbb0ada44c009b2061d2eedd98b5 |
institution | Directory Open Access Journal |
issn | 2541-9420 2587-9596 |
language | Russian |
last_indexed | 2025-02-16T17:26:31Z |
publishDate | 2014-11-01 |
publisher | Scientific Сentre for Family Health and Human Reproduction Problems |
record_format | Article |
series | Acta Biomedica Scientifica |
spelling | doaj.art-8d0ecbb0ada44c009b2061d2eedd98b52025-01-27T16:48:47ZrusScientific Сentre for Family Health and Human Reproduction ProblemsActa Biomedica Scientifica2541-94202587-95962014-11-010689951790APPLICATION OF MATHEMATICAL METHOD PREDICTIONS FOR IDENTIFICATION OF PATTERNS RELATIONS MUTATIONS IN PROTEINS ENCEPHALITIS VIRUS AND A MANIFESTATION OF ITS PHENOTYPIC TRAITSN. G. Zagoruyko0Yu. P. Dzhioev1I. V. Kozlova2S. E. Tkachev3Yu. S. Bukin4A. I. Paramonov5A. Yu. Borisenko6I. A. Borisova7V. I. Zlobin8O. A. Kutnenko9S.L. Sobolev Institute of Mathematics SB RAS; Novosibirsk State Research UniversityIrkutsk State Medical UniversityIrkutsk State Medical UniversityInstitute of Chemical Biology and Fundamental Medicine SB RASLimnological Institute SB RASIrkutsk State Medical UniversityScientific Center for Family Health Problems and Human ReproductionS.L. Sobolev Institute of Mathematics SB RAS; Novosibirsk State Research UniversityIrkutsk State Medical UniversityS.L. Sobolev Institute of Mathematics SB RAS; Novosibirsk State Research UniversityWe 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.https://www.actabiomedica.ru/jour/article/view/1844tbe virusneuroinvasivenessthermal stabilitythermoresistancemathematical prediction methods |
spellingShingle | 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 Acta Biomedica Scientifica tbe virus neuroinvasiveness thermal stability thermoresistance mathematical prediction methods |
title | 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_short | 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 |
topic | tbe virus neuroinvasiveness thermal stability thermoresistance mathematical prediction methods |
url | https://www.actabiomedica.ru/jour/article/view/1844 |
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