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http://elar.urfu.ru/handle/10995/130234
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Forghani, M. | en |
dc.contributor.author | Kovalev, S. | en |
dc.contributor.author | Khachay, M. | en |
dc.contributor.author | Ramsay, E. | en |
dc.contributor.author | Bolkov, M. | en |
dc.contributor.author | Vasev, P. | en |
dc.date.accessioned | 2024-04-05T16:16:24Z | - |
dc.date.available | 2024-04-05T16:16:24Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Forghani, M, Kovalev, S, Khachay, M, Ramsay, E, Bolkov, M & Vasev, P 2023, 'Identifying New Clusterons: Application of TBEV Analyzer 3.0', Microorganisms, Том. 11, № 2, 324. https://doi.org/10.3390/microorganisms11020324 | harvard_pure |
dc.identifier.citation | Forghani, M., Kovalev, S., Khachay, M., Ramsay, E., Bolkov, M., & Vasev, P. (2023). Identifying New Clusterons: Application of TBEV Analyzer 3.0. Microorganisms, 11(2), [324]. https://doi.org/10.3390/microorganisms11020324 | apa_pure |
dc.identifier.issn | 2076-2607 | - |
dc.identifier.other | Final | 2 |
dc.identifier.other | All Open Access, Gold, Green | 3 |
dc.identifier.other | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149022656&doi=10.3390%2fmicroorganisms11020324&partnerID=40&md5=24ac4d9c9779fd676da584bbb614e91d | 1 |
dc.identifier.other | https://www.mdpi.com/2076-2607/11/2/324/pdf?version=1676540780 | |
dc.identifier.uri | http://elar.urfu.ru/handle/10995/130234 | - |
dc.description.abstract | Early knowledge about novel emerging viruses and rapid determination of their characteristics are crucial for public health. In this context, development of theoretical approaches to model viral evolution are important. The clusteron approach is a recent bioinformatics tool which analyzes genetic patterns of a specific E protein fragment and provides a hierarchical network structure of the viral population at three levels: subtype, lineage, and clusteron. A clusteron is a group of strains with identical amino acid (E protein fragment) signatures; members are phylogenetically closely related and feature a particular territorial distribution. This paper announces TBEV Analyzer 3.0, an analytical platform for rapidly characterizing tick-borne encephalitis virus (TBEV) strains based on the clusteron approach, workflow optimizations, and simplified parameter settings. Compared with earlier versions of TBEV Analyzer, we provide theoretical and practical enhancements to the platform. Regarding the theoretical aspect, the model of the clusteron structure, which is the core of platform analysis, has been updated by analyzing all suitable TBEV strains available in GenBank, while the practical enhancements aim at improving the platform’s functionality. Here, in addition to expanding the strain sets of prior clusterons, we introduce eleven novel clusterons through our experimental results, predominantly of the European subtype. The obtained results suggest effective application of the proposed platform as an analytical and exploratory tool in TBEV surveillance. © 2023 by the authors. | en |
dc.description.sponsorship | Russian Foundation for Basic Research, РФФИ: 19-31-60025; Ministry of Education and Science of the Russian Federation, Minobrnauka: 075-02-2022-874 | en |
dc.description.sponsorship | The reported study was funded by RFBR, project number 19-31-60025. Michael Khachay was funded by the Ural Mathematical Center with the financial support of the Ministry of Education and Science of the Russian Federation (Agreement number 075-02-2022-874). | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | MDPI | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.rights | cc-by | other |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | unpaywall |
dc.source | Microorganisms | 2 |
dc.source | Microorganisms | en |
dc.subject | CLUSTERON APPROACH | en |
dc.subject | EPIDEMIOLOGY | en |
dc.subject | EVOLUTION | en |
dc.subject | MONITORING | en |
dc.subject | TBEV ANALYZER | en |
dc.title | Identifying New Clusterons: Application of TBEV Analyzer 3.0 | en |
dc.type | Article | en |
dc.type | info:eu-repo/semantics/article | en |
dc.type | |info:eu-repo/semantics/publishedVersion | en |
dc.identifier.doi | 10.3390/microorganisms11020324 | - |
dc.identifier.scopus | 85149022656 | - |
local.contributor.employee | Forghani, M., N. N. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, 620108, Russian Federation, Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, 620075, Russian Federation | en |
local.contributor.employee | Kovalev, S., Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, 620075, Russian Federation | en |
local.contributor.employee | Khachay, M., N. N. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, 620108, Russian Federation | en |
local.contributor.employee | Ramsay, E., Saint Petersburg Pasteur Institute, Saint Petersburg, 197101, Russian Federation | en |
local.contributor.employee | Bolkov, M., Institute of Immunology and Physiology, Yekaterinburg, 620049, Russian Federation | en |
local.contributor.employee | Vasev, P., N. N. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, 620108, Russian Federation | en |
local.issue | 2 | - |
local.volume | 11 | - |
dc.identifier.wos | 000940605800001 | - |
local.contributor.department | N. N. Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, 620108, Russian Federation | en |
local.contributor.department | Institute of Natural Sciences and Mathematics, Ural Federal University, Yekaterinburg, 620075, Russian Federation | en |
local.contributor.department | Saint Petersburg Pasteur Institute, Saint Petersburg, 197101, Russian Federation | en |
local.contributor.department | Institute of Immunology and Physiology, Yekaterinburg, 620049, Russian Federation | en |
local.identifier.pure | 35511163 | - |
local.description.order | 324 | - |
local.identifier.eid | 2-s2.0-85149022656 | - |
local.identifier.wos | WOS:000940605800001 | - |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85149022656.pdf | 1,61 MB | Adobe PDF | Просмотреть/Открыть |
Лицензия на ресурс: Лицензия Creative Commons