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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">diaendo</journal-id><journal-title-group><journal-title xml:lang="ru">Сахарный диабет</journal-title><trans-title-group xml:lang="en"><trans-title>Diabetes mellitus</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-0351</issn><issn pub-type="epub">2072-0378</issn><publisher><publisher-name>Endocrinology research centre</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.14341/DM8212</article-id><article-id custom-type="elpub" pub-id-type="custom">diaendo-8212</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="ru"><subject>Экспериментальная диабетология</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Experimental Diabetology</subject></subj-group></article-categories><title-group><article-title>Компьютерная валидация эффективности метаболитов микроводорослей против сахарного диабета</article-title><trans-title-group xml:lang="en"><trans-title>In silico validation of microalgal metabolites against Diabetes mellitus</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7223-3853</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Selvaraj</surname><given-names>Gurudeeban</given-names></name><name name-style="western" xml:lang="en"><surname>Selvaraj</surname><given-names>Gurudeeban</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD in Marine Biotechnology</p></bio><email xlink:type="simple">gurudeeb99@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3604-8810</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Kaliamurthi</surname><given-names>Satyavani</given-names></name><name name-style="western" xml:lang="en"><surname>Kaliamurthi</surname><given-names>Satyavani</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD</p></bio><email xlink:type="simple">satyavani@ismu.edu.tr</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6772-5570</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Elibol Çakmak</surname><given-names>Zeynep</given-names></name><name name-style="western" xml:lang="en"><surname>Elibol Çakmak</surname><given-names>Zeynep</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD in Biology</p></bio><email xlink:type="simple">zelibolcakmak@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Çakmak</surname><given-names>Turgay</given-names></name><name name-style="western" xml:lang="en"><surname>Çakmak</surname><given-names>Turgay</given-names></name></name-alternatives><bio xml:lang="en"><p>MD, PhD</p></bio><email xlink:type="simple">turgay.cakmak@medeniyet.edu.tr</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>&lt;p&gt;İstanbul Medeniyet University&lt;/p&gt;</institution><country>Турция</country></aff><aff xml:lang="en"><institution>&lt;p&gt;İstanbul Medeniyet Unverity&lt;/p&gt;</institution><country>Turkey</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>25</day><month>10</month><year>2017</year></pub-date><volume>20</volume><issue>4</issue><fpage>301</fpage><lpage>307</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Selvaraj G., Kaliamurthi S., Elibol Çakmak Z., Çakmak T., 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder xml:lang="ru">Selvaraj G., Kaliamurthi S., Elibol Çakmak Z., Çakmak T.</copyright-holder><copyright-holder xml:lang="en">Selvaraj G., Kaliamurthi S., Elibol Çakmak Z., Çakmak T.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" 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.dia-endojournals.ru/jour/article/view/8212">https://www.dia-endojournals.ru/jour/article/view/8212</self-uri><abstract><sec><title>Цель</title><p>Цель. Компьютерное моделирование эффективности применения метаболитов микроводорослей в качестве лигандов для антидиабетических таргетных белков, а именно глюкокиназы, фруктозы-1, 6-бисфосфатазы, киназы гликогенсинтазы, цитохрома Р450, белка множественной лекарственной устойчивости и γ-рецептора, активируемого пролифераторами пероксисом (PPARγ).</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. Трехмерные структуры метаболитов микроводорослей были получены из базы данных химических соединений и смесей PubChem и содержали минимальное количество энергии. Активный участок таргетного белка был определен при помощи суммы Банка белковых структур. Молекулярная стыковка метаболитов микроводорослей выполнялась с помощью сервера Hex 8.0 и DockThor.</p></sec><sec><title>Результаты</title><p>Результаты. Стыковка посредством Hex выявила, что связывающее взаимодействие фукоксантина было выше с фруктозой 1.6 бис-фосфатазой (-298,31), белком множественной лекарственной устойчивости человека 1 (-369,67) и PPARγ (-404,18). Стыковка посредством DockThor показала, что зеаксантин с глюкокиназой вырабатывает более высокий уровень общей энергии (111,23 ккал/моль) и энергии взаимодействия (-99 ккал/моль). Лютеин с фруктозой 1,6 бис-фосфатазой, белком множественной лекарственной устойчивости человека, киназой гликогенсинтазы, PPARγ и цитохромом р450 вырабатывал более высокий уровень общей энергии и энергии взаимодействия.</p></sec><sec><title>Заключение</title><p>Заключение. В ходе дальнейших исследований будут оцениваться антидиабетический эффект каротиноидов микроводорослей, особенно лютеина, зеаксантина и фукоксантина.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim. Present study aimed to evaluate the efficiency of microalgal metabolites as ligands for anti-diabetic target proteins viz., glucokinase, fructose-1, 6-bisphosphatase, glycogen synthase kinase, cytochrome P450, multi drug resistant protein, and peroxisome proliferator-activated receptor-γ(PPARγ) via computational approach.</p></sec><sec><title>Matherials and methods</title><p>Matherials and methods. Three-dimensional structures of microalgal metabolites were retrieved from PubChem database and were energy minimized. The active site of target protein was predicted through PDB sum. Molecular docking was performed with microalgae metabolites by using Hex 8.0 and DockThor server.</p></sec><sec><title>Results</title><p>Results. Hex docking revealed that the binding interaction of fucoxanthin was higher with fructose 1.6 bis-phosphatase (-298.31), human multidrug resistant protein 1 (-369.67), and PPARγ (-404.18). DockThor docking indicated that zeaxanthin with glucokinase produced higher total energy (111.23 kcal/mol) and interaction energy (-2.99 kcal/mol). Lutein with fructose 1.6 bis phosphatase, human multidrug resistant protein, glycogen synthase kinase, PPARγ and cytochrome p450 produced higher total energy and interaction energy.</p></sec><sec><title>Conclusion</title><p>Conclusion. Further studies will assess the anti-diabetic effect of carotenoids of microalgae especially lutein, zeaxanthin and fucoxanthin.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>каротиноид</kwd><kwd>сахарный диабет</kwd><kwd>DockThor</kwd><kwd>глюкокиназа</kwd><kwd>микроводоросли</kwd></kwd-group><kwd-group xml:lang="en"><kwd>carotenoid</kwd><kwd>diabetes mellitus</kwd><kwd>DockThor</kwd><kwd>glucokinase</kwd><kwd>microalgae</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">TUBİTAK</funding-statement><funding-statement xml:lang="en">The Scientific and Technological Research Council of Turkey (TUBITAK -2216); Research fund of İstanbul Medeniyet University (Project#FBA-2012-185)</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">Li RX, Yiu WH, Wu HJ, et al. BMP7 reduces inflammation and oxidative stress in diabetic tubulopathy. 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