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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Biological Physics and Chemisrty</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Biological Physics and Chemisrty</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>АКТУАЛЬНЫЕ ВОПРОСЫ БИОЛОГИЧЕСКОЙ ФИЗИКИ И ХИМИИ</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2499-9962</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">83231</article-id>
   <article-id pub-id-type="doi">10.29039/rusjbpc.2023.0602</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>МОДЕЛИРОВАНИЕ В БИОФИЗИКЕ И БИОИНФОРМАТИКА</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>MODELLING IN BIOPHYCIS AND BIOINFORMATISC</subject>
    </subj-group>
    <subj-group>
     <subject>МОДЕЛИРОВАНИЕ В БИОФИЗИКЕ И БИОИНФОРМАТИКА</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">EFFECT OF OXIDATIVE STRESS ON THE FUNCTIONING OF GLUTAMATE RECEPTORS IN THE HIPPOCAMPUS</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>ВЛИЯНИЕ ОКСИДАТИВНОГО СТРЕССА НА ФУНКЦИОНИРОВАНИЕ ГЛУТАМАТНЫХ РЕЦЕПТОРОВ ГИППОКАМПА</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Аксенова</surname>
       <given-names>С. В.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Aksenova</surname>
       <given-names>S. V.</given-names>
      </name>
     </name-alternatives>
     <email>kgyr@mail.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Батова</surname>
       <given-names>А. С.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Batova</surname>
       <given-names>A. S.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Бугай</surname>
       <given-names>А. Н.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Bugay</surname>
       <given-names>A. N.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-3"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Душанов</surname>
       <given-names>Э. Б.</given-names>
      </name>
      <name xml:lang="en">
       <surname>Dushanov</surname>
       <given-names>E. B.</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-4"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Объединенный институт ядерных исследований</institution>
     <city>Дубна</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Joint Institute for Nuclear Research</institution>
     <city>Dubna</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Объединенный институт ядерных исследований</institution>
     <city>Дубна</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Joint Institute for Nuclear Research</institution>
     <city>Dubna</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-3">
    <aff>
     <institution xml:lang="ru">Объединенный институт ядерных исследований</institution>
     <city>Дубна</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Joint Institute for Nuclear Research</institution>
     <city>Dubna</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-4">
    <aff>
     <institution xml:lang="ru">Объединенный институт ядерных исследований</institution>
     <city>Дубна</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">Joint Institute for Nuclear Research</institution>
     <city>Dubna</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2024-05-21T00:00:00+03:00">
    <day>21</day>
    <month>05</month>
    <year>2024</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2024-05-21T00:00:00+03:00">
    <day>21</day>
    <month>05</month>
    <year>2024</year>
   </pub-date>
   <volume>8</volume>
   <issue>2</issue>
   <fpage>151</fpage>
   <lpage>158</lpage>
   <history>
    <date date-type="received" iso-8601-date="2023-07-15T00:00:00+03:00">
     <day>15</day>
     <month>07</month>
     <year>2023</year>
    </date>
   </history>
   <self-uri xlink:href="https://rusjbpc.ru/en/nauka/article/83231/view">https://rusjbpc.ru/en/nauka/article/83231/view</self-uri>
   <abstract xml:lang="ru">
    <p>В настоящей работе предложен модельный подход для анализа свойств нейронных сетей гиппокампа, содержащих модифицированные глутаматные рецепторы. Было проведено молекулярно-динамическое моделирование рецепторов NMDA и AMPA, содержащих в своей структуре повреждения, вызванные действием свободных радикалов. Изучение сетевой активности нейронов с измененной структурой рецепторов проводилось в модели нейронныой сети CA3 области гиппокампа. В результате исследования свойств нейронной сети гиппокампа с модифицированной структурой глутаматных рецепторов получены электрофизиологические характеристики известной модели нейронной сети в зависимости от строения ионного канала рецептора. Исходя из анализа изменения проводимостей ионного канала были выявлены различия в амплитуде тета- и гамма-частотных диапазонов в нейронных сетях с различными модельными структурами AMPA- и NMDA-рецепторов. В ходе анализа сетевой активности нейронов были выявлены изменения проводимости ионного канала глутаматных рецепторов и локального потенциала в зависимости от типа повреждения. При значительном снижении проводимости ионного канала глутаматного рецептора в нейронной сети наблюдается падение амплитуды тета-частотных и возрастание гамма-частотных диапазонов. В случае повреждения TYR731 и CYS765 NMDA-рецептора в нейронной сети имеет место увеличение амплитуды тета- и гамма-частотных диапазонов. :</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>. In this work, we propose a model approach for analysis of the properties of hippocampal neural networks containing modified glutamate receptors. Molecular dynamics modeling of NMDA and AMPA receptors containing damage caused by the action of free radicals was carried out. The study of network activity of neurons with altered receptor structure was carried out in models of neural network CA3 of the hippocampus region. As a result of studying the properties of the neural network of the hippocampus with a modified structure of glutamate receptors, the electrophysiological characteristics of the known model of neural networks were obtained depending on the structure of the ion channel of the receptor. Based on the analysis of changes in the conductance of the ion channel, differences in the amplitude of the theta and gamma frequency ranges in neural networks with different model structures of AMPA and NMDA receptors were revealed. During the analysis of the network activity of neurons, changes in the conductance of the ion channel of glutamate receptors and local potential were revealed depending on the type of damage. With a significant decrease in the conductivity of the ion channel of the glutamate receptor in the neural network, a decrease in the amplitude of the theta-frequency and an increase in the gamma-frequency ranges is observed. In the case of damage to the TYR731 and CYS765 NMDA receptor in the neural network, an increase in the amplitude of the theta and gamma frequency ranges takes place.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>гиппокамп</kwd>
    <kwd>рецептор NMDA</kwd>
    <kwd>болезнь Альцгеймера</kwd>
    <kwd>молекулярная динамика</kwd>
    <kwd>нейронная сеть</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>hippocampus</kwd>
    <kwd>NMDA receptor</kwd>
    <kwd>Alzheimer’s disease</kwd>
    <kwd>molecular dynamics</kwd>
    <kwd>neural network</kwd>
   </kwd-group>
  </article-meta>
 </front>
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