Computational Analysis of the Structural Composition of Coronavirus Genomes
Ecological disasters, wars in regions with microbiological weapons depots, deforestation, domestication of wild animals, consumption of infected animals, contamination of water and food products and their components, experiments with viruses, deficiencies and other defects of the immune system in mo...
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| Format: | Article |
| Language: | Russian |
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2023-04-01
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| Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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| Online Access: | https://doklady.bsuir.by/jour/article/view/3606 |
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| author | M. V. Sprindzuk V. I. Bernik A. S. Vladyko L. Zhuozhuang L. P. Titov |
| author_facet | M. V. Sprindzuk V. I. Bernik A. S. Vladyko L. Zhuozhuang L. P. Titov |
| author_sort | M. V. Sprindzuk |
| collection | DOAJ |
| description | Ecological disasters, wars in regions with microbiological weapons depots, deforestation, domestication of wild animals, consumption of infected animals, contamination of water and food products and their components, experiments with viruses, deficiencies and other defects of the immune system in modern humans and other mammals became the impetus for the evolution of new dangerous and extremely dangerous viruses. Due to the emergence of new dangerous viruses, the importance and demand for knowledge and skills of computational biology, epidemiology and virology in modern society have increased. Modern sequencers are capable of producing large amounts of bioinformatic data that is represented in the form of genomic texts. Comparative сomputational analysis of this information is necessary to clarify the issues of phylogenesis, mutational profiling, molecular evolution, identification of insertions of other genomes, annotation of genome regions, search for targets for vaccine development and pharmacotherapy. In this сontext, authors conducted a computational experiment of comparative analysis of the genomic texts of Belarusian coronavirus samples against a number of selected complete genomes of dangerous and extremely dangerous viruses and coronaviruses of various origins. Data analysis was performed using the YASS, genomic texts were downloaded from the GISAID, the custom genomic data processing pipeline based on the Galaxy bioinformatics platform was also applied. The article presents the results of an analysis of the available scientific literature and the computational experiment comparing the genomic texts of Belarusian coronavirus samples with a number of selected complete genomes of dangerous and especially dangerous viruses and coronaviruses of various origin. A significant similarity of the new coronavirus with the recombinant coronavirus, as well as partial similarity with synthetic coronavirus, Rubella, Ebola 1976, HIV-2 (human immunodeficiency virus), Middle East respiratory syndrome, simian immunodeficiency and Marburg fever viruses have been found. |
| format | Article |
| id | doaj-art-7e3a6c9dfe8f4d03bc09097b2ea42e2a |
| institution | Kabale University |
| issn | 1729-7648 |
| language | Russian |
| publishDate | 2023-04-01 |
| publisher | Educational institution «Belarusian State University of Informatics and Radioelectronics» |
| record_format | Article |
| series | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
| spelling | doaj-art-7e3a6c9dfe8f4d03bc09097b2ea42e2a2025-08-20T04:00:33ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482023-04-0121210411310.35596/1729-7648-2023-21-2-104-1131896Computational Analysis of the Structural Composition of Coronavirus GenomesM. V. Sprindzuk0V. I. Bernik1A. S. Vladyko2L. Zhuozhuang3L. P. Titov4Institute of Mathematics of the National Academy of Sciences of Belarus; Belarusian State University of Informatics and Radioelectronics; The United Institute of Informatics Problems of the National Academy of Sciences of BelarusInstitute of Mathematics of the National Academy of Sciences of BelarusThe Republican Research and Practical Center for Epidemiology and MicrobiologyChinese Center for Disease Control and PreventionThe Republican Research and Practical Center for Epidemiology and MicrobiologyEcological disasters, wars in regions with microbiological weapons depots, deforestation, domestication of wild animals, consumption of infected animals, contamination of water and food products and their components, experiments with viruses, deficiencies and other defects of the immune system in modern humans and other mammals became the impetus for the evolution of new dangerous and extremely dangerous viruses. Due to the emergence of new dangerous viruses, the importance and demand for knowledge and skills of computational biology, epidemiology and virology in modern society have increased. Modern sequencers are capable of producing large amounts of bioinformatic data that is represented in the form of genomic texts. Comparative сomputational analysis of this information is necessary to clarify the issues of phylogenesis, mutational profiling, molecular evolution, identification of insertions of other genomes, annotation of genome regions, search for targets for vaccine development and pharmacotherapy. In this сontext, authors conducted a computational experiment of comparative analysis of the genomic texts of Belarusian coronavirus samples against a number of selected complete genomes of dangerous and extremely dangerous viruses and coronaviruses of various origins. Data analysis was performed using the YASS, genomic texts were downloaded from the GISAID, the custom genomic data processing pipeline based on the Galaxy bioinformatics platform was also applied. The article presents the results of an analysis of the available scientific literature and the computational experiment comparing the genomic texts of Belarusian coronavirus samples with a number of selected complete genomes of dangerous and especially dangerous viruses and coronaviruses of various origin. A significant similarity of the new coronavirus with the recombinant coronavirus, as well as partial similarity with synthetic coronavirus, Rubella, Ebola 1976, HIV-2 (human immunodeficiency virus), Middle East respiratory syndrome, simian immunodeficiency and Marburg fever viruses have been found.https://doklady.bsuir.by/jour/article/view/3606coronaviruspandemicbioinformaticsmedical systemsgenomicsespecially dangerous infectionsmathematical modelingimmunoinformaticsantiviral therapy |
| spellingShingle | M. V. Sprindzuk V. I. Bernik A. S. Vladyko L. Zhuozhuang L. P. Titov Computational Analysis of the Structural Composition of Coronavirus Genomes Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki coronavirus pandemic bioinformatics medical systems genomics especially dangerous infections mathematical modeling immunoinformatics antiviral therapy |
| title | Computational Analysis of the Structural Composition of Coronavirus Genomes |
| title_full | Computational Analysis of the Structural Composition of Coronavirus Genomes |
| title_fullStr | Computational Analysis of the Structural Composition of Coronavirus Genomes |
| title_full_unstemmed | Computational Analysis of the Structural Composition of Coronavirus Genomes |
| title_short | Computational Analysis of the Structural Composition of Coronavirus Genomes |
| title_sort | computational analysis of the structural composition of coronavirus genomes |
| topic | coronavirus pandemic bioinformatics medical systems genomics especially dangerous infections mathematical modeling immunoinformatics antiviral therapy |
| url | https://doklady.bsuir.by/jour/article/view/3606 |
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