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Matematicheskaya Biologiya i Bioinformatika, 2019, Volume 14, Issue 2, Pages 533–542
DOI: https://doi.org/10.17537/2019.14.533
(Mi mbb401)
 

This article is cited in 5 scientific papers (total in 5 papers)

Bioinformatics

Flavivirus species recognition based on the polyprotein coding sequences

M. B. Chaleya, Zh. S. Tyulkob, V. A. Kutyrkinc

a Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Moscow Region, Russia
b 2Omsk State Medical University of Ministry of Healthcare of the Russian Federation, Omsk, Russia
c Bauman Moscow State Technical University, Moscow, Russia
Full-text PDF (832 kB) Citations (5)
References:
Abstract: Method recognizing the flavivirus species, including a subtype recognition, that based on the genome sequence analysis, is proposed. This method takes into consideration frequency characteristics of amino acid codons in the coding sequences of full-length polyprotein of flavivirus genomes. High reliability of the method is proved in recognizing flavivirus genomes from 15 groups of different species and sub-types, that are sufficiently represented in the GenBank database. Ten various species of the flaviviruses, four sub-types of Dengue virus and Kunjin virus, that is suggested to be a sub-type of West Nile virus, are considered in the work.
Key words: flavivirus genome, latent profile triplet periodicity, frequencies of amino acid codons, flavivirus species recognition.
Received 28.08.2019, 13.11.2019, Published 19.11.2019
Document Type: Article
Language: Russian
Citation: M. B. Chaley, Zh. S. Tyulko, V. A. Kutyrkin, “Flavivirus species recognition based on the polyprotein coding sequences”, Mat. Biolog. Bioinform., 14:2 (2019), 533–542
Citation in format AMSBIB
\Bibitem{ChaTyuKut19}
\by M.~B.~Chaley, Zh.~S.~Tyulko, V.~A.~Kutyrkin
\paper Flavivirus species recognition based on the polyprotein coding sequences
\jour Mat. Biolog. Bioinform.
\yr 2019
\vol 14
\issue 2
\pages 533--542
\mathnet{http://mi.mathnet.ru/mbb401}
\crossref{https://doi.org/10.17537/2019.14.533}
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  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:80
    Full-text PDF :75
    References:15
     
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