<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">ssmu</journal-id><journal-title-group><journal-title xml:lang="ru">Бюллетень сибирской медицины</journal-title><trans-title-group xml:lang="en"><trans-title>Bulletin of Siberian Medicine</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1682-0363</issn><issn pub-type="epub">1819-3684</issn><publisher><publisher-name>Siberian State Medical University, the Ministry of Healthcare of the Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.20538/1682-0363-2026-3-87-92</article-id><article-id custom-type="elpub" pub-id-type="custom">ssmu-6605</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>ОРИГИНАЛЬНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL PAPERS</subject></subj-group></article-categories><title-group><article-title>Компьютерное моделирование взаимодействия киназы JAK3 с ксантотоксином</article-title><trans-title-group xml:lang="en"><trans-title>Computer Simulation of the Interaction between Janus Kinase 3 (JAK3) and Xanthotoxin</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6077-0347</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Часовских</surname><given-names>Н. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Chasovskikh</surname><given-names>N. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Часовских Наталия Юрьевна д-р мед. наук, доцент, зав. кафедрой медицинской и биологической кибернетики</p><p>634050, г. Томск, Московский тракт, 2</p></bio><bio xml:lang="en"><p>2 Moskovsky trakt, 634050 Tomsk</p></bio><email xlink:type="simple">chasovskih.ny@ssmu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4731-8449</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шестакова</surname><given-names>Е. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Shestakova</surname><given-names>E. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шестакова Евгения Евгеньевна ст. преподаватель, кафедра медицинской и биологической кибернетики</p><p>634050, г. Томск, Московский тракт, 2</p></bio><bio xml:lang="en"><p>2 Moskovsky trakt, 634050 Tomsk</p></bio><email xlink:type="simple">chizik.ee@ssmu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Сибирский государственный медицинский университет (СибГМУ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Siberian State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>01</day><month>10</month><year>2026</year></pub-date><volume>25</volume><issue>3</issue><fpage>87</fpage><lpage>92</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Часовских Н.Ю., Шестакова Е.Е., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Часовских Н.Ю., Шестакова Е.Е.</copyright-holder><copyright-holder xml:lang="en">Chasovskikh N.Y., Shestakova E.E.</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://bulletin.ssmu.ru/jour/article/view/6605">https://bulletin.ssmu.ru/jour/article/view/6605</self-uri><abstract><p>Цель исследования провести компьютерное моделирование и оценить взаимодействие киназы JAK3 с ксантотоксином.</p><sec><title>Материалы и методы</title><p>Материалы и методы. 3D-cтруктуры киназы JAK3 (PDB ID: 5LWM) и ксантотоксина PubChem (PubChem ID: 4114) были получены из банка данных белков PDB и базы данных химических соединений и смесей соответственно. На этапе подготовки структуры киназы к проведению молекулярного докинга применяли PyMOL v. 2.5, для конвертации ксантотоксина в формат .pdb использовали OpenBabel. Молекулярный до­кинг выполняли в AutoDock Vina, молекулярно-динамическое моделирование в GROMACS 2023.3. Для построения топологии белка использовали силовое поле CHARMM 36, для топологии лиганда сервер CHARMM General Force Field (CGenFF). Для анализа результатов применяли программы Xmgrace и PyMOL.</p></sec><sec><title>Результаты</title><p>Результаты. В результате проведенного молекулярного докинга киназы JAK3 и ксантотоксина получен стабильный комплекс с энергией связывания -7,043 ккал/моль. Выявлены аминокислотные остатки ки­назы JAK3, участвующие в межмолекулярном взаимодействии: лейцин в позициях 828 (LEU828) и 905 (LEU905). Устойчивость комплекса, полученного в результате докинга, подтверждена результатами симу­ляции молекулярной динамики. Проведенная молекулярная динамика показала, что комплекс киназы JAK3 сохраняет свою структуру на протяжении всего моделирования в присутствии ксантотоксина, система на­ходится в устойчивом состоянии.</p></sec><sec><title>Заключение</title><p>Заключение. Полученные данные свидетельствуют о возможной роли ксантотоксина в реализации програм­мируемой гибели клеток и могут быть использованы для дальнейших экспериментальных исследований.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Aim</title><p>Aim. To perform computer modeling and evaluate the interaction of Janus Kinase 3 (JAK3) with xanthotoxin.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. The 3D structures of JAK3 (PDB ID: 5LWM) and xanthotoxin PubChem (PubChem ID: 4114) were obtained from the Protein Data Bank (PDB) and the Chemical Compounds and Mixtures Database (CCM), respectively. PyMOL v. 2.5 was used to prepare the kinase structure for molecular docking, and OpenBabel was used to convert xanthotoxin to .pdb format. Molecular docking was performed using AutoDock Vina, and molecular dynamics simulations were performed using GROMACS 2023.3. The CHARMM36 force field was used to construct protein topology, and the CHARMM General Force Field (CGenFF) server was used for ligand topology. Xmgrace and PyMOL were used to analyze the results.</p></sec><sec><title>Results</title><p>Results. Molecular docking of JAK3 and xanthotoxin yielded a stable complex with a binding energy of 7.043 kcal/mol. The amino acid residues of JAK3 involved in the intermolecular interaction were identified: leucine at position 828 (LEU828) and at position 905 (LEU905). The stability of the docked complex was confirmed by molecular dynamics simulations. Molecular dynamics simulations showed that the JAK3 complex maintained its structure throughout the simulation in the presence of xanthotoxin; the system reached an equilibrium state.</p></sec><sec><title>Conclusion</title><p>Conclusion. These data suggest a possible role for xanthotoxin in programmed cell death and can be used for further experimental studies.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>молекулярный докинг</kwd><kwd>молекулярная динамика</kwd><kwd>киназа JAK3</kwd><kwd>ксантотоксин</kwd><kwd>апоптоз</kwd></kwd-group><kwd-group xml:lang="en"><kwd>molecular docking</kwd><kwd>molecular dynamics</kwd><kwd>JAK3</kwd><kwd>xanthotoxin</kwd><kwd>apoptosis</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Естественное движение населения Российской Федерации за 2023 год (cтатистический бюллетень). М.: Росстат, 2024. URL: http://www.rosstat.gov.ru</mixed-citation><mixed-citation xml:lang="en">Естественное движение населения Российской Федерации за 2023 год (cтатистический бюллетень). М.: Росстат, 2024. URL: http://www.rosstat.gov.ru</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Глухов А.И., Грызунова Г.К., Усай Л.И., Алейникова Т.Л., Черникова Н.В., Бурт А.Ю. Роль апоптоза в патогенезе некоторых критических состояний. Общая реаниматология. 2019;15(2):79–98. DOI: 10.15360/1813-9779-2019-2-79-98.</mixed-citation><mixed-citation xml:lang="en">Глухов А.И., Грызунова Г.К., Усай Л.И., Алейникова Т.Л., Черникова Н.В., Бурт А.Ю. Роль апоптоза в патогенезе некоторых критических состояний. Общая реаниматология. 2019;15(2):79–98. DOI: 10.15360/1813-9779-2019-2-79-98.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Часовских Н.Ю., Рязанцева Н.В., Новицкий В.В. Апоптоз и окислительный стресс. Томск: Печатная мануфактура, 2009:148.</mixed-citation><mixed-citation xml:lang="en">Часовских Н.Ю., Рязанцева Н.В., Новицкий В.В. Апоптоз и окислительный стресс. Томск: Печатная мануфактура, 2009:148.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Elmore S. Apoptosis: a review of programmed cell death. Toxicol. Pathol. 2007;35(4):495–516. DOI: 10.1080/01926230701320337.</mixed-citation><mixed-citation xml:lang="en">Elmore S. Apoptosis: a review of programmed cell death. Toxicol. Pathol. 2007;35(4):495–516. DOI: 10.1080/01926230701320337.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Gao S., Zhan L., Yang Z., Shi R., Li H., Xia Z. et al. Remote limb ischaemic postconditioning protects against myocardial ischaemia/reperfusion injury in mice: activation of JAK/ STAT3-mediated Nrf2-antioxidant signalling. Cell Physiol. Biochem. 2017;43(3):1140–1151. DOI: 10.1159/000481755.</mixed-citation><mixed-citation xml:lang="en">Gao S., Zhan L., Yang Z., Shi R., Li H., Xia Z. et al. Remote limb ischaemic postconditioning protects against myocardial ischaemia/reperfusion injury in mice: activation of JAK/ STAT3-mediated Nrf2-antioxidant signalling. Cell Physiol. Biochem. 2017;43(3):1140–1151. DOI: 10.1159/000481755.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Rawlings J.S., Rosler K.M., Harrison D.A. The JAK/STAT signaling pathway. J. Cell Sci. 2004;117(Pt 8):1281–1283. DOI: 10.1242/jcs.00963.</mixed-citation><mixed-citation xml:lang="en">Rawlings J.S., Rosler K.M., Harrison D.A. The JAK/STAT signaling pathway. J. Cell Sci. 2004;117(Pt 8):1281–1283. DOI: 10.1242/jcs.00963.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Morris R., Kershaw N.J., Babon J.J. The molecular details of cytokine signaling via the JAK/STAT pathway. Protein Sci. 2018;27(12):1984–2009. DOI: 10.1002/pro.3519.</mixed-citation><mixed-citation xml:lang="en">Morris R., Kershaw N.J., Babon J.J. The molecular details of cytokine signaling via the JAK/STAT pathway. Protein Sci. 2018;27(12):1984–2009. DOI: 10.1002/pro.3519.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Ahmed S., Khan H., Aschner M., Mirzae H., Küpeli Akkol E., Capasso R. Anticancer potential of furanocoumarins: mechanistic and therapeutic aspects. Int. J. Mol. Sci. 2020;21(16):5622. DOI: 10.3390/ijms21165622.</mixed-citation><mixed-citation xml:lang="en">Ahmed S., Khan H., Aschner M., Mirzae H., Küpeli Akkol E., Capasso R. Anticancer potential of furanocoumarins: mechanistic and therapeutic aspects. Int. J. Mol. Sci. 2020;21(16):5622. DOI: 10.3390/ijms21165622.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Kubrak T., Czop M., Kołodziej P., Ziaja-Sołtys M., Bogucki J., Makuch-Kocka A. et al. The effect of furanocoumarin derivatives on induction of apoptosis and multidrug resistance in human leukemic cells. Molecules. 2019;24(9):1824. DOI: 10.3390/molecules24091824.</mixed-citation><mixed-citation xml:lang="en">Kubrak T., Czop M., Kołodziej P., Ziaja-Sołtys M., Bogucki J., Makuch-Kocka A. et al. The effect of furanocoumarin derivatives on induction of apoptosis and multidrug resistance in human leukemic cells. Molecules. 2019;24(9):1824. DOI: 10.3390/molecules24091824.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Issa M.Y., Elshal M.F., Fathallah N., Abdelkawy M.A., Bishr M., Salama O. et al. Potential anticancer activity of the furanocoumarin derivative xanthotoxin isolated from Ammi majus L. Fruits: in vitro and in silico studies. Molecules. 2022;27(3):943. DOI: 10.3390/molecules27030943.</mixed-citation><mixed-citation xml:lang="en">Issa M.Y., Elshal M.F., Fathallah N., Abdelkawy M.A., Bishr M., Salama O. et al. Potential anticancer activity of the furanocoumarin derivative xanthotoxin isolated from Ammi majus L. Fruits: in vitro and in silico studies. Molecules. 2022;27(3):943. DOI: 10.3390/molecules27030943.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Wu A., Lu J., Zhong G., Lu L., Qu Y., Zhang C. Xanthotoxin (8-methoxypsoralen): A review of its chemistry, pharmacology, pharmacokinetics, and toxicity. Phytother. Res. 2022;36(10):3805–3832. DOI: 10.1002/ptr.7577.</mixed-citation><mixed-citation xml:lang="en">Wu A., Lu J., Zhong G., Lu L., Qu Y., Zhang C. Xanthotoxin (8-methoxypsoralen): A review of its chemistry, pharmacology, pharmacokinetics, and toxicity. Phytother. Res. 2022;36(10):3805–3832. DOI: 10.1002/ptr.7577.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Lee Y., Hyun C.G. Anti-inflammatory effects of psoralen derivatives on RAW264.7 cells via regulation of the NF-κB and MAPK signaling pathways. Int. J. Mol. Sci. 2022;23(10):5813. DOI: 10.3390/ijms23105813.</mixed-citation><mixed-citation xml:lang="en">Lee Y., Hyun C.G. Anti-inflammatory effects of psoralen derivatives on RAW264.7 cells via regulation of the NF-κB and MAPK signaling pathways. Int. J. Mol. Sci. 2022;23(10):5813. DOI: 10.3390/ijms23105813.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Sumorek-Wiadro J., Zając A., Maciejczyk A., Jakubowicz-Gil J. Furanocoumarins in anticancer therapy – for and against. Fitoterapia. 2020;142:104492. DOI: 10.1016/j.fitote.2020.104492.</mixed-citation><mixed-citation xml:lang="en">Sumorek-Wiadro J., Zając A., Maciejczyk A., Jakubowicz-Gil J. Furanocoumarins in anticancer therapy – for and against. Fitoterapia. 2020;142:104492. DOI: 10.1016/j.fitote.2020.104492.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Lee S.B., Lee W.S., Shin J.S., Jang D.S., Lee K.T. Xanthotoxin suppresses LPS-induced expression of iNOS, COX-2, TNF-α, and IL-6 via AP-1, NF-κB, and JAK-STAT inactivation in RAW 264.7 macrophages. Int. Immunopharmacol. 2017;49:21–29. DOI: 10.1016/j.intimp.2017.05.021.</mixed-citation><mixed-citation xml:lang="en">Lee S.B., Lee W.S., Shin J.S., Jang D.S., Lee K.T. Xanthotoxin suppresses LPS-induced expression of iNOS, COX-2, TNF-α, and IL-6 via AP-1, NF-κB, and JAK-STAT inactivation in RAW 264.7 macrophages. Int. Immunopharmacol. 2017;49:21–29. DOI: 10.1016/j.intimp.2017.05.021.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Kurach L., Kulczycka-Mamona S., Kowalczyk J., Skalicka-Wozniak K., Boguszewska-Czubara A., El Sayed N. et al. Mechanisms of the procognitive effects of xanthotoxin and umbelliferone on LPS-induced amnesia in mice. Int. J. Mol. Sci. 2021;22(4):1779. DOI: 10.3390/ijms22041779.</mixed-citation><mixed-citation xml:lang="en">Kurach L., Kulczycka-Mamona S., Kowalczyk J., Skalicka-Wozniak K., Boguszewska-Czubara A., El Sayed N. et al. Mechanisms of the procognitive effects of xanthotoxin and umbelliferone on LPS-induced amnesia in mice. Int. J. Mol. Sci. 2021;22(4):1779. DOI: 10.3390/ijms22041779.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Perri M.R., Pellegrino M., Aquaro S., Cavaliere F., Lupia C., Uzunov D. et al. Cachrys spp. from southern Italy: phytochemical characterization and JAK/STAT signaling pathway inhibition. Plants. 2022;11(21);2913. DOI: 10.3390/plants11212913.</mixed-citation><mixed-citation xml:lang="en">Perri M.R., Pellegrino M., Aquaro S., Cavaliere F., Lupia C., Uzunov D. et al. Cachrys spp. from southern Italy: phytochemical characterization and JAK/STAT signaling pathway inhibition. Plants. 2022;11(21);2913. DOI: 10.3390/plants11212913.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Lionta E., Spyrou G., Vassilatis D.K., Cournia Z. Structure-based virtual screening for drug discovery: principles, applications and recent advances. Curr. Top. Med. Chem. 2014;14(16):1923–1938. DOI: 10.2174/1568026614666140929124445.</mixed-citation><mixed-citation xml:lang="en">Lionta E., Spyrou G., Vassilatis D.K., Cournia Z. Structure-based virtual screening for drug discovery: principles, applications and recent advances. Curr. Top. Med. Chem. 2014;14(16):1923–1938. DOI: 10.2174/1568026614666140929124445.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Pagadala N.S., Syed K., Tuszynski J. Software for molecular docking: a review. Biophys. Rev. 2017;9(2):91–102. DOI: 10.1007/s12551-016-0247-1.</mixed-citation><mixed-citation xml:lang="en">Pagadala N.S., Syed K., Tuszynski J. Software for molecular docking: a review. Biophys. Rev. 2017;9(2):91–102. DOI: 10.1007/s12551-016-0247-1.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Gautam S., Pathak S., Dubey S.H. The Role of Molecular Docking in Modern Drug Discovery and Development: A Comprehensive Review. Journal of Drug Discovery and Health Sciences. 2024;1(3):129–137. DOI: 10.21590/ijddhs.01.03.02.</mixed-citation><mixed-citation xml:lang="en">Gautam S., Pathak S., Dubey S.H. The Role of Molecular Docking in Modern Drug Discovery and Development: A Comprehensive Review. Journal of Drug Discovery and Health Sciences. 2024;1(3):129–137. DOI: 10.21590/ijddhs.01.03.02.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Sinha S., Tam B., Wang S.M. Applications of Molecular Dynamics Simulation in Protein Study. Membranes (Basel). 2022;12(9):844. DOI: 10.3390/membranes12090844.</mixed-citation><mixed-citation xml:lang="en">Sinha S., Tam B., Wang S.M. Applications of Molecular Dynamics Simulation in Protein Study. Membranes (Basel). 2022;12(9):844. DOI: 10.3390/membranes12090844.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Faris A., Cacciatore I., Ibrahim I.M., Al Mughram M.H., Hadni H., Tabti K. et al. In silico computational drug discovery: a Monte Carlo approach for developing a novel JAK3 inhibitors. J. Biomol. Struct. Dyn. 2024;42(22):12548–12570. DOI: 10.1080/07391102.2023.2270709.</mixed-citation><mixed-citation xml:lang="en">Faris A., Cacciatore I., Ibrahim I.M., Al Mughram M.H., Hadni H., Tabti K. et al. In silico computational drug discovery: a Monte Carlo approach for developing a novel JAK3 inhibitors. J. Biomol. Struct. Dyn. 2024;42(22):12548–12570. DOI: 10.1080/07391102.2023.2270709.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Wei J., Pan Y., Shen Z., Shen L., Xu L., Yu W. et al. A hybrid energy-based and AI-based screening approach for the discovery of novel inhibitors of JAK3. Front. Med (Lausanne). 2023;10:1182227. DOI: 10.3389/fmed.2023.1182227.</mixed-citation><mixed-citation xml:lang="en">Wei J., Pan Y., Shen Z., Shen L., Xu L., Yu W. et al. A hybrid energy-based and AI-based screening approach for the discovery of novel inhibitors of JAK3. Front. Med (Lausanne). 2023;10:1182227. DOI: 10.3389/fmed.2023.1182227.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Jain D., Udhwani T., Sharma S., Gandhe A., Reddy P.B., Nayarisseri A. et al. Design of novel JAK3 inhibitors towards rheumatoid arthritis using molecular docking analysis. Bioinformation. 2019;15(2):68–78. DOI: 10.6026/97320630015068.</mixed-citation><mixed-citation xml:lang="en">Jain D., Udhwani T., Sharma S., Gandhe A., Reddy P.B., Nayarisseri A. et al. Design of novel JAK3 inhibitors towards rheumatoid arthritis using molecular docking analysis. Bioinformation. 2019;15(2):68–78. DOI: 10.6026/97320630015068.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Berman H.M., Westbrook J., Feng Z., Gilliland G., Bhat T.N., Weissig H. et al. The protein data bank. Nucleic Acids Res. 2000;28(1):235–242. DOI: 10.1093/nar/28.1.235.</mixed-citation><mixed-citation xml:lang="en">Berman H.M., Westbrook J., Feng Z., Gilliland G., Bhat T.N., Weissig H. et al. The protein data bank. Nucleic Acids Res. 2000;28(1):235–242. DOI: 10.1093/nar/28.1.235.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Kim S., Chen J., Cheng T., Gindulyte A., He J., He S. et al. PubChem 2025 update. Nucleic Acids Res. 2025;53(D1):D1516– D1525. DOI: 10.1093/nar/gkae1059.</mixed-citation><mixed-citation xml:lang="en">Kim S., Chen J., Cheng T., Gindulyte A., He J., He S. et al. PubChem 2025 update. Nucleic Acids Res. 2025;53(D1):D1516– D1525. DOI: 10.1093/nar/gkae1059.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Schrödinger L., DeLano W. PyMOL. 2020. URL: http://www.pymol.org/pymol</mixed-citation><mixed-citation xml:lang="en">Schrödinger L., DeLano W. PyMOL. 2020. URL: http://www.pymol.org/pymol</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">O’Boyle N.M., Banck M., James C.A., Morley C., Vandermeersch T., Hutchison G.R. Open Babel: An open chemical toolbox. J. Cheminform. 2011;3:33. DOI: 10.1186/1758-2946-3-33.</mixed-citation><mixed-citation xml:lang="en">O’Boyle N.M., Banck M., James C.A., Morley C., Vandermeersch T., Hutchison G.R. Open Babel: An open chemical toolbox. J. Cheminform. 2011;3:33. DOI: 10.1186/1758-2946-3-33.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Trott O., Olson A.J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 2010;31:455–461. DOI: 10.1002/jcc.21334.</mixed-citation><mixed-citation xml:lang="en">Trott O., Olson A.J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 2010;31:455–461. DOI: 10.1002/jcc.21334.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Abraham M.J., Murtola T., Schulz R., Páll S., Smith J.C., Hess B. et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX. 2015;1–2:19–25. DOI: 10.1016/j.softx.2015.06.001.</mixed-citation><mixed-citation xml:lang="en">Abraham M.J., Murtola T., Schulz R., Páll S., Smith J.C., Hess B. et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX. 2015;1–2:19–25. DOI: 10.1016/j.softx.2015.06.001.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Vanommeslaeghe K., Hatcher E., Acharya C., Kundu S., Zhong S., Shim J. et al. CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 2010;31(4):671–690. DOI: 10.1002/jcc.21367.</mixed-citation><mixed-citation xml:lang="en">Vanommeslaeghe K., Hatcher E., Acharya C., Kundu S., Zhong S., Shim J. et al. CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields. J. Comput. Chem. 2010;31(4):671–690. DOI: 10.1002/jcc.21367.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Vaught A. Graphing with Gnuplot and Xmgr: two graphing packages available under Linux. Linux J. 1996;1996:7.</mixed-citation><mixed-citation xml:lang="en">Vaught A. Graphing with Gnuplot and Xmgr: two graphing packages available under Linux. Linux J. 1996;1996:7.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Nairismägi M.L., Gerritsen M.E., Li Z.M., Wijaya G.C., Chia B.K.H., Laurensia Y. et al. Oncogenic activation of JAK3- STAT signaling confers clinical sensitivity to PRN371, a novel selective and potent JAK3 inhibitor, in natural killer/T-cell lymphoma. Leukemia. 2018;32(5):1147–1156. DOI: 10.1038/s41375-017-0004-x.</mixed-citation><mixed-citation xml:lang="en">Nairismägi M.L., Gerritsen M.E., Li Z.M., Wijaya G.C., Chia B.K.H., Laurensia Y. et al. Oncogenic activation of JAK3- STAT signaling confers clinical sensitivity to PRN371, a novel selective and potent JAK3 inhibitor, in natural killer/T-cell lymphoma. Leukemia. 2018;32(5):1147–1156. DOI: 10.1038/s41375-017-0004-x.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Kim S.M., Lee J.H., Sethi G., Kim C., Baek S.H., Nam D. et al. Bergamottin, a natural furanocoumarin obtained from grapefruit juice induces chemosensitization and apoptosis through the inhibition of STAT3 signaling pathway in tumor cells. Cancer Lett. 20141;354(1):153–163. DOI: 10.1016/j.canlet.2014.08.002.</mixed-citation><mixed-citation xml:lang="en">Kim S.M., Lee J.H., Sethi G., Kim C., Baek S.H., Nam D. et al. Bergamottin, a natural furanocoumarin obtained from grapefruit juice induces chemosensitization and apoptosis through the inhibition of STAT3 signaling pathway in tumor cells. Cancer Lett. 20141;354(1):153–163. DOI: 10.1016/j.canlet.2014.08.002.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Shi X., Lai Y., Liu W., Zhang X., Cang Y. Natural compound Byakangelicin suppresses breast tumor growth and motility by regulating SHP-1/JAK2/STAT3 signal pathway. Biochem. Biophys. Res. Commun. 2024;706:149758. DOI: 10.1016/j.bbrc.2024.149758.</mixed-citation><mixed-citation xml:lang="en">Shi X., Lai Y., Liu W., Zhang X., Cang Y. Natural compound Byakangelicin suppresses breast tumor growth and motility by regulating SHP-1/JAK2/STAT3 signal pathway. Biochem. Biophys. Res. Commun. 2024;706:149758. DOI: 10.1016/j.bbrc.2024.149758.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
