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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Membrane and Cell Biology</journal-id><journal-title-group><journal-title xml:lang="en">Membrane and Cell Biology</journal-title><trans-title-group xml:lang="ru"><trans-title>Биологические мембраны</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0233-4755</issn><issn publication-format="electronic">3034-5219</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">667426</article-id><article-id pub-id-type="doi">10.31857/S0233475524050093</article-id><article-id pub-id-type="edn">cbfpad</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Lipid-mediated adaptation of proteins and peptides in cell membranes</article-title><trans-title-group xml:lang="ru"><trans-title>Липид-опосредованная адаптация белков и пептидов в клеточных мембранах</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Polyansky</surname><given-names>A. A.</given-names></name><name xml:lang="ru"><surname>Полянский</surname><given-names>А. А.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>r-efremov@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Efremov</surname><given-names>R. G.</given-names></name><name xml:lang="ru"><surname>Ефремов</surname><given-names>Р. Г.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>r-efremov@yandex.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Институт биоорганической химии им. академиков М.М. Шемякина и Ю.А. Овчинникова РАН</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">National Research University Higher School of Economics</institution></aff><aff><institution xml:lang="ru">Национальный исследовательский университет Высшая школа экономики</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Moscow Institute of Physics and Technology (State University)</institution></aff><aff><institution xml:lang="ru">Московский физико-технический институт (Национальный исследовательский университет)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-11-04" publication-format="electronic"><day>04</day><month>11</month><year>2024</year></pub-date><volume>41</volume><issue>5-6</issue><fpage>473</fpage><lpage>491</lpage><history><date date-type="received" iso-8601-date="2025-02-26"><day>26</day><month>02</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, The Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Российская академия наук</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">The Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0233-4755/article/view/667426">https://journals.eco-vector.com/0233-4755/article/view/667426</self-uri><abstract xml:lang="en"><p>The paper overviews the results of computational studies of the molecular mechanisms underlying the adaptation of model cell membranes taking place during their interaction with proteins and peptides. We discuss changes in the structural and dynamic parameters of the water–lipid environment, the hydrophobic/hydrophilic organization of the lipid bilayer surface (the so-called “mosaicity”), etc. Taken together, these effects are called the “membrane response” (MR) and constitute the most important ability of the cell membranes to respond specifically and consistently to the incorporation of extraneous agents, primarily proteins and peptides, and their subsequent functioning. The results of the authors’ long-term research in the field of molecular modeling of MR processes with various spatial and temporal characteristics are described, from the effects of binding of individual lipid molecules to proteins to changes in the integral macroscopic parameters of membranes. The bulk of the results were obtained using the “dynamic molecular portrait” approach developed by the authors. The biological role of the observed phenomena and potential ways of rationally designing artificial membrane systems with specified MR characteristics are discussed. This, in turn, is important for targeted changes in the activity profile of proteins and peptides exerting action on biomembranes, not least as promising pharmacological agents.</p></abstract><trans-abstract xml:lang="ru"><p>Представлены результаты исследований в компьютерном эксперименте молекулярных механизмов адаптации модельных клеточных мембран, реализующейся в ходе их взаимодействия с белками и пептидами. Речь идет об изменении структурно-динамических параметров водно-липидной среды, гидрофобной/гидрофильной организации поверхности липидного бислоя (так называемой «мозаичности») и пр. Взятые в совокупности, эти эффекты получили название «мембранного ответа» (МО) – важнейшей способности клеточных мембран специфично и устойчиво реагировать на встраивание и функционирование в них внешних агентов, в первую очередь – белков и пептидов. Описаны полученные в ходе многолетних исследований результаты авторов в области молекулярного моделирования процессов МО с различными пространственно-временными характеристиками – от эффектов связывания с белками отдельных молекул липидов до изменения интегральных макроскопических параметров мембран. Основная часть результатов получена с использованием разработанной авторами технологии «динамического молекулярного портрета». Обсуждаются биологическая роль наблюдаемых явлений и возможные пути рационального проектирования искусственных мембранных систем с заданными характеристиками МО. Это, в свою очередь, важно для направленного изменения профиля активности белков и пептидов, действующих на биомембраны, в том числе в качестве перспективных фармакологических агентов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>membrane proteins</kwd><kwd>molecular biophysics platform</kwd><kwd>computer modeling</kwd><kwd>molecular dynamics</kwd><kwd>“membrane response”</kwd><kwd>protein-lipid interactions</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>мембранные белки</kwd><kwd>молекулярно-биофизическая платформа</kwd><kwd>компьютерное моделирование</kwd><kwd>молекулярная динамика</kwd><kwd>«мембранный ответ»</kwd><kwd>белок-липидные взаимодействия</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Российский научный фонд</institution></institution-wrap><institution-wrap><institution xml:lang="en">Russian Science Foundation</institution></institution-wrap></funding-source><award-id>23-14-00313</award-id></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Gennis R.B. 1989. 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