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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
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
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
Linking options:
https://www.mathnet.ru/eng/mbb401 https://www.mathnet.ru/eng/mbb/v14/i2/p533
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