dtЦифровая трансформацияDigital Transformation2522-96132524-2822Educational Establishment “Belarusian State University of Informatics and Radioelectronics”10.35596/2522-9613-2022-28-1-71-81dt-663Research ArticleИНФОРМАТИКА, КОМПЬЮТЕРНАЯ ТЕХНИКА, ОБРАЗОВАНИЕ, ЭКОНОМИКАINFORMATICS, COMPUTER EQUIPMENT, EDUCATION, ECONOMICSAлгоритмы обработки геномов коронавируса для целей и задач современной иммуноинформатики, вакциномики и вирусологииAlgorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and VirologyСпринджукМ. В.SprindzukM. V.

Спринджук Матвей Владимирович, к.т.н., старший научный сотрудник

220012, г. Минск, ул. Сурганова, 6, тел. +375-33-682-57-55

Sprindzuk Matvey Vladimirovich, TehSciPhD (Medical Systems Engineering), Senior Researcher at the United Institute of Informatics Problems

220012, Minsk, Surganova st. 6, tel. +375-33-682-57-55

bioinformatics_bel@yahoo.comВладыкоА. С.VladykoA. S.

Владыко А. С., д.м.н., профессор, главный научный сотрудник

Vladyko A. S., Dr. of Sci. (Mathematics), Professor, Principal Researcher at the Republican Scientific and Practical Center for Epidemiology and Microbiology

ТитовЛ. П.TitovL. P.

Титов Л. П., д.м.н., профессор, академик НАН Беларуси, заведующий лабораторией экспериментальной иммунологии

Titov L. P., Dr. of Sci. (Mathematics), Professor, Academic of NASB, Head of the Laboratory of Experimental Immunology

ЧжочжуанЛуZhuozhuangLu

Чжочжуан Лу, д.м.н., профессор, главный научный сотрудник

Zhuozhuang Lu, Dr.of Sci. (Mathematics), Professor, Principal (Head) Researcher

БерникВ. И.BernikV. I.

Берник В. И., д. ф-м. н., главный научный сотрудник отдела теории чисел, профессор

Bernik V. I., Dr. of Sci. (Physics and Mathematics), Head Researcher at the Department of Number Theory, professor

Объединенный институт проблем информатики НАН БеларусиNational Academy of Sciences of BelarusРНПЦ эпидемиологии и микробиологии МЗ РБBelarus Ministry of HealthcareРНПЦ эпидемиологии и микробиологии МЗ РБRRPC for epidemiology and microbiologyКитайский центр по контролю и профилактике заболеванийChinese Center for Disease Control and PreventionГосударственное научное учреждение «Институт математики Национальной академии наук Беларуси»State Scientific Institution «Institute of Mathematics of the National Academy of Sciences of Belarus»2022020620222817181Copyright © Спринджук М.В., Владыко А.С., Титов Л.П., Чжочжуан Л., Берник В.И., 20222022Спринджук М.В., Владыко А.С., Титов Л.П., Чжочжуан Л., Берник В.И.Sprindzuk M.V., Vladyko A.S., Titov L.P., Zhuozhuang L., Bernik V.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://dt.bsuir.by/jour/article/view/663

Пандемия нового коронавируса стала причиной стимуляции научной активности вирусологии и междисциплинарных наук, таких как медицинская кибернетика и биоинформатика. Статья сфокусирована на вопросах изучения алгоритмов обработки биоинформационных данных геномной природы для целей преимущественно иммуноинформатики и вычислительной вакцинологии. Приводятся разработанные авторами схемы алгоритмов анализа биоинформационных данных. Алгоритмы, разработанные авторами на основе анализа доступной литературы и многолетнего опыта вычислительных и лабораторных экспериментов для обработки геномной информации, можно применять не только для дизайна и анализа компонентов эпитопных вакцин, но и для других задач вычислительной вирусологии и микробиологии. In silico эксперименты по анализу биоинформационных данных относительно малозатратны и многоинформативны, но требуют от ученого высокой квалификации, длительного опыта и, соответственно, широкого спектра знаний и навыков. Однако для полноценного анализа и внедрения, к примеру, эпитопных вакцин, требуется последующая валидация лабораторными и in vivo экспериментами.

The novel coronavirus pandemic has stimulated the scientific activity of virology and interdisciplinary sciences: medical cybernetics and bioinformatics. The article is focused on the study of algorithms for processing bioinformatic data of genomic origin predominantly for the purposes of predominantly immunoinformatics and computational vaccinology. The schemes of algorithms developed by the authors for the analysis of bioinformatic data are presented. The algorithms for processing genomic information developed by the authors based on the analysis of the available literature and many years of experience in computational and laboratory experiments can be used not only for the design and analysis of epitope vaccine components, but also for the other tasks of computational virology and microbiology. In silico experiments on the analysis of bioinformatic data are relatively low-cost and multi-informative, but they require highly qualified scientists with extensive experience, interdisciplinary training, and, accordingly, a wide range of knowledge and skills. However, for the complete analysis and implementation of, for example, the epitope vaccines, subsequent validation by the laboratory and in vivo experiments are required.

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The authors declare that there are no conflicts of interest present.