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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">farmaec</journal-id><journal-title-group><journal-title xml:lang="en">FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology</journal-title><trans-title-group xml:lang="ru"><trans-title>ФАРМАКОЭКОНОМИКА. Современная фармакоэкономика и фармакоэпидемиология</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2070-4909</issn><issn pub-type="epub">2070-4933</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17749/2070-4909/farmakoekonomika.2023.192</article-id><article-id custom-type="elpub" pub-id-type="custom">farmaec-863</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL ARTICLES</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОРИГИНАЛЬНЫЕ ПУБЛИКАЦИИ</subject></subj-group></article-categories><title-group><article-title>Comparative chemomicrobiomic analysis of bacteriocins</article-title><trans-title-group xml:lang="ru"><trans-title>Сравнительный хемомикробиомный анализ бактериоцинов</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2659-7998</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Торшин</surname><given-names>И. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Torshin</surname><given-names>I. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Торшин Иван Юрьевич – к.ф-м.н., к.х.н., старший научный сотрудник </p><p>WoS ResearcherID: C-7683-2018; Scopus Author ID: 7003300274</p><p>ул. Вавилова, д. 44, корп. 2, Москва 119333</p></bio><bio xml:lang="en"><p>Ivan Yu. Torshin – PhD (Phys. Math.), PhD (Chem.), Senior Researcher</p><p>WoS ResearcherID: C-7683-2018; Scopus Author ID: 7003300274</p><p>44 corp. 2 Vavilov Str., Moscow 119333</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7663-710X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Громова</surname><given-names>О. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gromova</surname><given-names>O. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Громова Ольга Алексеевна – д.м.н., профессор, ведущий научный сотрудник</p><p>WoS ResearcherID: J-4946-2017; Scopus Author ID: 7003589812</p><p>ул. Вавилова, д. 44, корп. 2, Москва 119333</p></bio><bio xml:lang="en"><p>Olga A. Gromova – Dr. Med. Sc., Professor, Leading Researcher</p><p>WoS ResearcherID: J-4946-2017; Scopus Author ID: 7003589812</p><p>44 corp. 2 Vavilov Str., Moscow 119333</p></bio><email xlink:type="simple">unesco.gromova@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Федеральный исследовательский центр «Информатика и управление» Российской академии наук<country>Россия</country></aff><aff xml:lang="en">Federal Research Center “Computer Science and Control”, Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>25</day><month>09</month><year>2023</year></pub-date><volume>16</volume><issue>4</issue><fpage>643</fpage><lpage>656</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Torshin I.Y., Gromova O.A., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Торшин И.Ю., Громова О.А.</copyright-holder><copyright-holder xml:lang="en">Torshin I.Y., Gromova O.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.pharmacoeconomics.ru/jour/article/view/863">https://www.pharmacoeconomics.ru/jour/article/view/863</self-uri><abstract><p>Objective: comprehensive analysis of the spectrum of antibacterial action of bactеriocins.Material and methods. Chemomicrobiome analysis of bacteriocins A/B, C, S, 28b, RS-2020 was performed to assess the minimum inhibitory concentration (MIC) values for 152 strains of pathogenic bacteria and the area under the growth curve (AUC) values for a representative sample of normobiota (38 human commensal bacteria).Results. Compared to other molecules, bacteriocin C was characterized by lower MIC constants for a wide range of pathogenic bacterial strains. Thus, it more effectively inhibited strains of pathogens of bacterial pneumonia (H. influenzae, S. mutans, S. pneumoniae, S. pyogenes), nosocomial infections (K. pneumoniae, P. aeruginosa, S. aureus, S. epidermidis, S. pneumoniae), skin diseases (M. audouinii, T. mentagrophytes, etc.), urinary tract infections (E. cloacae, P. mirabilis and P. vulgaris), Fusobacterium necrophorum and Candida fungi. At the same time, bacteriocin C to a lesser extent than the reference molecules inhibited the growth of the normophysiological microbiota of the Bacteroides, Enterococcus genera, non-pathogenic Escherichia, yeast S. cerevisiae and others. By stimulating butyrate (butyric anion) producing microorganisms, bacteriocin C can exhibit prebiotic properties.Conclusion. The main structural features of the bacteriocin C molecule associated with the antibacterial effect on pathogenic microbiota were identified and described.</p></abstract><trans-abstract xml:lang="ru"><sec><title>Цель</title><p>Цель: комплексный анализ спектра антибактериального действия бактриоцинов.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. Проведен хемомикробиомный анализ бактериоцинов A/B, C, S, 28b, RS-2020 для оценки значений минимальных ингибирующих концентраций (англ. minimum inhibitory concentration, MIC) для 152 штаммов болезнетворных бактерий и значений площади под кривой роста (англ. area under curve AUC) для репрезентативной выборки нормобиоты (38 бактерий – комменсалов человека).</p></sec><sec><title>Результаты</title><p>Результаты. По сравнению с другими молекулами бактериоцин С характеризовался меньшими значениями констант MIC для широкого круга штаммов патогенных бактерий. Так, он более эффективно ингибировал штаммы возбудителей бактериальной пневмонии (H. influenzae, S. mutans, S. pneumoniae, S. pyogenes), внутрибольничных инфекций (K. pneumoniae, P. aeruginosa, S. aureus, S. epidermidis, S. pneumoniae), заболеваний кожи (M. audouinii, T. mentagrophytes и др.), инфекций мочевыводящий путей (E. cloacae, протеи P. mirabilis и P. vulgaris), Fusobacterium necrophorum и грибов Candida. В то же время бактериоцин С в меньшей степени, чем молекулы сравнения, тормозил рост нормофизиологической микробиоты родов Bacteroides, Enterococcus, непатогенных Escherichia, дрожжей S. cerevisiae и др. Стимулируя микроорганизмы – продуценты бутирата (анион масляной кислоты), бактериоцин С может проявлять пребиотические свойства.</p></sec><sec><title>Заключение</title><p>Заключение. Выявлены и описаны основные структурные признаки молекулы бактериоцина С, связанные с антибактериальным воздействием на патогенную микробиоту.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>Бактериальные  патогены</kwd><kwd>микробиом  человека</kwd><kwd>площадь  под  кривой  роста</kwd><kwd>фармакоинформационные технологии</kwd><kwd>хемоинформатика</kwd><kwd>анализ хемографов</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Bacterial  pathogens</kwd><kwd>human  microbiome</kwd><kwd>area  under  the  growth  curve</kwd><kwd>AUC</kwd><kwd>pharmacoinformatics</kwd><kwd>chemoinformatics</kwd><kwd>chemograph analysis</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Работа выполнена при поддержке гранта Российского научного фонда (проект № 23-21-00154 «Разработка методов прогноза свойств фармакологических препаратов по их молекулярной структуре с помощью теории топологического анализа хемографов»).</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The work was supported by a grant from the Russian Science Foundation (project no. 23-21-00154 “Development of methods for predicting the properties of pharmacological preparations by their molecular structure using the theory of topological analysis of chemographs”).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Marx J., Hockberger R., Walls R. 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