<?xml version='1.0' encoding='utf-8'?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2658-6533</journal-id><journal-title-group><journal-title>Research Results in Biomedicine</journal-title></journal-title-group><issn pub-type="epub">2658-6533</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2658-6533-2026-12-1-0-5</article-id><article-id pub-id-type="publisher-id">4038</article-id><article-categories><subj-group subj-group-type="heading"><subject>Pharmacology</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Evaluation of efficacy of selective phenolic compounds of olive leaves in chronic myeloid leukemia: an in-silico approach&lt;/strong&gt;&lt;br /&gt;
&amp;nbsp;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Evaluation of efficacy of selective phenolic compounds of olive leaves in chronic myeloid leukemia: an in-silico approach&lt;/strong&gt;&lt;br /&gt;
&amp;nbsp;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Hossain</surname><given-names>Riaz</given-names></name><name xml:lang="en"><surname>Hossain</surname><given-names>Riaz</given-names></name></name-alternatives><email>riazhossain712@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Shorif</surname><given-names>Nishan</given-names></name><name xml:lang="en"><surname>Shorif</surname><given-names>Nishan</given-names></name></name-alternatives><email>nshorif.ns@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Foysal</surname><given-names>Sifat</given-names></name><name xml:lang="en"><surname>Foysal</surname><given-names>Sifat</given-names></name></name-alternatives><email>sifatfoysaliiuc@gmail.com</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Islam</surname><given-names>Mohammad N.</given-names></name><name xml:lang="en"><surname>Islam</surname><given-names>Mohammad N.</given-names></name></name-alternatives><email>nazmul@iiuc.ac.bd</email></contrib></contrib-group><pub-date pub-type="epub"><year>2026</year></pub-date><volume>12</volume><issue>1</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/medicine/2026/1/Биомед_исследования-65-81.pdf" /><abstract xml:lang="ru"><p>Background: Chronic myeloid leukemia (CML) is a blood cancer driven by the BCR-ABL1 fusion protein, where current therapies face challenges like resistance and side effects. Olive leaves contain phenolic compounds, which have shown anti-cancer potential. The aim of the study: To use molecular docking analysis to compare the molecular interactions of selected phenolic compounds in olive leaf extract and Imatinib with the active sites of the Breakpoint Cluster Region (BCR)-Abelson (ABL) fusion protein to identify safer and cost-effective therapeutic candidates for Chronic Myeloid Leukemia (CML). Materials and methods: In this work, we assessed the biological activity of the test substances in silico using the PASS online server. ADME analysis was performed utilizing the SwissADME free online web server, and a toxicology study was done using the AdmetSAR online server. For the in silico molecular docking investigation, the protein structure of the BCR-ABL fusion protein was obtained from the Protein Data Bank (PDB) website, while the ligand structures were obtained from the PubChem website. The binding energy (kcal/mol) was determined using the Autodock Vina software. The protein-ligand interactions were examined using the Discovery Studio Visualizer. Results: In silico molecular docking experiments show that verbascoside, uvaol, loganic acid, secologanin, and cinnamic acid have a high binding affinity to the BCR-ABL protein, with binding energies of -9.2, -9.7, -8.7, -7.3, and -7.4, respectively, which are very close to the binding affinity of the standard medication Imatinib, which has a binding energy of -10.3 Kcal/mol. ADMET analysis and PASS prediction validate the following compounds drug-like properties, i.e., anti-carcinogenic, anti-neoplastic, and anti-neoplastic, along with maintaining Lipinski&amp;rsquo;s rule of five. Conclusion: The binding affinity of some test compounds compared to Imatinib, as well as their interactions with amino acid residues at the active sites of the BCR-ABL fusion protein, suggest that verbascoside, uvaol, loganic acid, secologanin, and cinnamic acid may bind selectively to CML cells, inhibiting their proliferation and acting as a novel anti-CML agent</p></abstract><trans-abstract xml:lang="en"><p>Background: Chronic myeloid leukemia (CML) is a blood cancer driven by the BCR-ABL1 fusion protein, where current therapies face challenges like resistance and side effects. Olive leaves contain phenolic compounds, which have shown anti-cancer potential. The aim of the study: To use molecular docking analysis to compare the molecular interactions of selected phenolic compounds in olive leaf extract and Imatinib with the active sites of the Breakpoint Cluster Region (BCR)-Abelson (ABL) fusion protein to identify safer and cost-effective therapeutic candidates for Chronic Myeloid Leukemia (CML). Materials and methods: In this work, we assessed the biological activity of the test substances in silico using the PASS online server. ADME analysis was performed utilizing the SwissADME free online web server, and a toxicology study was done using the AdmetSAR online server. For the in silico molecular docking investigation, the protein structure of the BCR-ABL fusion protein was obtained from the Protein Data Bank (PDB) website, while the ligand structures were obtained from the PubChem website. The binding energy (kcal/mol) was determined using the Autodock Vina software. The protein-ligand interactions were examined using the Discovery Studio Visualizer. Results: In silico molecular docking experiments show that verbascoside, uvaol, loganic acid, secologanin, and cinnamic acid have a high binding affinity to the BCR-ABL protein, with binding energies of -9.2, -9.7, -8.7, -7.3, and -7.4, respectively, which are very close to the binding affinity of the standard medication Imatinib, which has a binding energy of -10.3 Kcal/mol. ADMET analysis and PASS prediction validate the following compounds drug-like properties, i.e., anti-carcinogenic, anti-neoplastic, and anti-neoplastic, along with maintaining Lipinski&amp;rsquo;s rule of five. Conclusion: The binding affinity of some test compounds compared to Imatinib, as well as their interactions with amino acid residues at the active sites of the BCR-ABL fusion protein, suggest that verbascoside, uvaol, loganic acid, secologanin, and cinnamic acid may bind selectively to CML cells, inhibiting their proliferation and acting as a novel anti-CML agent</p></trans-abstract><kwd-group xml:lang="ru"><kwd>olive leaves</kwd><kwd>phenolic compound</kwd><kwd>chronic myeloid leukemia</kwd><kwd>PASS prediction</kwd><kwd>SwissADME</kwd><kwd>molecular docking</kwd><kwd>Autodock Vina</kwd><kwd>verbascoside</kwd><kwd>uvaol</kwd><kwd>loganic acid</kwd><kwd>secologanin</kwd><kwd>and cinnamic acid</kwd></kwd-group><kwd-group xml:lang="en"><kwd>olive leaves</kwd><kwd>phenolic compound</kwd><kwd>chronic myeloid leukemia</kwd><kwd>PASS prediction</kwd><kwd>SwissADME</kwd><kwd>molecular docking</kwd><kwd>Autodock Vina</kwd><kwd>verbascoside</kwd><kwd>uvaol</kwd><kwd>loganic acid</kwd><kwd>secologanin</kwd><kwd>and cinnamic acid</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Qais FA, Alomar SY, Imran MA, et al. In-Silico Analysis of Phytocompounds of Olea europaea as Potential Anti-Cancer Agents to Target PKM2 Protein. Molecules. 2022;27(18):5793. DOI: https://doi.org/10.3390/molecules27185793</mixed-citation></ref><ref id="B2"><mixed-citation>Chabot-Richards DS, George TI. White blood cell counts. Clinics in Laboratory Medicine. 2015;35(1):11-24. DOI: https://doi.org/10.1016/j.cll.2014.10.007</mixed-citation></ref><ref id="B3"><mixed-citation>Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. Ca-A Cancer Journal for Clinicians. 2018;68(1):7-30. DOI: https://doi.org/10.3322/caac.21442</mixed-citation></ref><ref id="B4"><mixed-citation>Mechchate H, Costa de Oliveira R, Es-Safi I, et al. Antileukemic activity and molecular docking study of a polyphenolic extract from coriander seeds. Pharmaceuticals. 2021;14(8):770. DOI: https://doi.org/10.3390/ph14080770</mixed-citation></ref><ref id="B5"><mixed-citation>Siyar H, Chefchaouni AC, Mamad H, et al. Role of Derivatives Ciprofloxacin on Chronic Myeloid Leukemia: In Silico Approach. Journal of Pharmaceutical Negative Results. 2022;13(6):1568-1575. DOI: https://doi.org/10.47750/pnr.2022.13.s06.208</mixed-citation></ref><ref id="B6"><mixed-citation>Amin MB, Edge SB, Greene FL, et al. editors. AJCC Cancer Staging Manual. Springer Cham; 2017.</mixed-citation></ref><ref id="B7"><mixed-citation>Huang X, Cortes J, Kantarjian H. Estimations of the increasing prevalence and plateau prevalence of chronic myeloid leukemia in the era of tyrosine kinase inhibitor therapy. Cancer. 2012;118(12):3123-3127. DOI: https://doi.org/10.1002/cncr.26679</mixed-citation></ref><ref id="B8"><mixed-citation>Metibemu DS, Akinloye OA, Akamo AJ, et al. Exploring receptor tyrosine kinases-inhibitors in Cancer treatments.&amp;nbsp; Egyptian Journal of Medical Human Genetics. 2019;20(1):35. DOI: https://doi.org/10.1186/s43042-019-0035-0</mixed-citation></ref><ref id="B9"><mixed-citation>Thomson RJ, Moshirfar M, Ronquillo Y. Tyrosine kinase inhibitors. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2025.</mixed-citation></ref><ref id="B10"><mixed-citation>Jabbour E, Kantarjian H. Chronic myeloid leukemia: 2020 update on diagnosis, therapy and monitoring. American Journal of Hematology. 2020;95(6):691-709. DOI: https://doi.org/10.1002/ajh.25792</mixed-citation></ref><ref id="B11"><mixed-citation>Million RP, Van Etten RA. The Grb2 binding site is required for the induction of chronic myeloid leukemia-like disease in mice by the Bcr/Abl tyrosine kinase. Blood. 2000;96(2):664-670. DOI: https://doi.org/10.1182/blood.V96.2.664</mixed-citation></ref><ref id="B12"><mixed-citation>Deininger MWN, Goldman JM, Melo JV. The molecular biology of chronic myeloid leukemia. Blood. 2000;96(10):3343-3356.</mixed-citation></ref><ref id="B13"><mixed-citation>Meyn MA, Wilson MB, Abdi FA, et al. Src family kinases phosphorylate the Bcr-Abl SH3-SH2 region and modulate Bcr-Abl transforming activity. Journal of Biological Chemistry. 2006;281(41):30907-30916. DOI: https://doi.org/10.1074/jbc.m605902200</mixed-citation></ref><ref id="B14"><mixed-citation>Parcha P, Sarvagalla S, Madhuri B, et al. Identification of natural inhibitors of Bcr‐Abl for the treatment of chronic myeloid leukemia. Chemical Biology and Drug Design. 2017;90(4):596-608. DOI: https://doi.org/10.1111/cbdd.12983</mixed-citation></ref><ref id="B15"><mixed-citation>Moen MD, McKeage K, Plosker GL, et al. Imatinib: a review of its use in chronic myeloid leukaemia. Drugs. 2007;67:299-320. DOI: https://doi.org/10.2165/00003495-200767020-00010</mixed-citation></ref><ref id="B16"><mixed-citation>Quint&amp;aacute;s-Cardama A, Kantarjian HM, Cortes JE. Mechanisms of primary and secondary resistance to imatinib in chronic myeloid leukemia. Cancer Control. 2009;16(2):122-131. DOI: https://doi.org/10.1177/107327480901600204</mixed-citation></ref><ref id="B17"><mixed-citation>Cowan-Jacob SW, Fendrich G, Floersheimer A, et al. Structural biology contributions to the discovery of drugs to treat chronic myelogenous leukaemia. Acta Crystallographica Section D: Biological Crystallography. 2007;63(1):80-93. DOI: https://doi.org/10.1107/S0907444906047287</mixed-citation></ref><ref id="B18"><mixed-citation>Zhong L, Li Y, Xiong L, et al. Small molecules in targeted cancer therapy: advances, challenges, and future perspectives. Signal Transduction and Targeted Therapy. 2021;6(1):201. DOI: https://doi.org/10.1038/s41392-021-00572-w</mixed-citation></ref><ref id="B19"><mixed-citation>Mechchate H, Es-Safi I, Haddad H, et al. Combination of Catechin, Epicatechin, and Rutin: Optimization of a novel complete antidiabetic formulation using a mixture design approach. Journal of Nutritional Biochemistry. 2021;88:108520. DOI: https://doi.org/10.1016/j.jnutbio.2020.108520</mixed-citation></ref><ref id="B20"><mixed-citation>Thomasset SC, Berry DP, Garcea G, et al. Dietary polyphenolic phytochemicals&amp;mdash;promising cancer chemopreventive agents in humans? A review of their clinical properties. International Journal of Cancer. 2007;120(3):451-458. DOI: https://doi.org/10.1002/ijc.22419</mixed-citation></ref><ref id="B21"><mixed-citation>Cicerale S, Lucas L, Keast R. Biological activities of phenolic compounds present in virgin olive oil. International Journal of Molecular Sciences. 2010;11(2):458-479. DOI: https://doi.org/10.3390/ijms11020458</mixed-citation></ref><ref id="B22"><mixed-citation>Talhaoui N, Taamalli A, G&amp;oacute;mez-Caravaca AM, et al. Phenolic compounds in olive leaves: Analytical determination, biotic and abiotic influence, and health benefits. Food Research International. 2015;77:92-108. DOI: https://doi.org/10.1016/j.foodres.2015.09.011</mixed-citation></ref><ref id="B23"><mixed-citation>Mihailova A, Abbado D, Pedentchouk N. Differences in n‐alkane profiles between olives and olive leaves as potential indicators for the assessment of olive leaf presence in virgin olive oils. European Journal of Lipid Science and Technology. 2015;117(9):1480-1485. DOI: https://doi.org/10.1002/ejlt.201400406</mixed-citation></ref><ref id="B24"><mixed-citation>Boss A, Bishop KS, Marlow G, et al. Evidence to support the anti-cancer effect of olive leaf extract and future directions. Nutrients. 2016;8(8):513. DOI: https://doi.org/10.3390/nu8080513</mixed-citation></ref><ref id="B25"><mixed-citation>Wu C, Gudivada RC, Aronow BJ, et al. Computational drug repositioning through heterogeneous network clustering. BMC Systems Biology. 2013;7:S6. DOI: https://doi.org/10.1186/1752-0509-7-S5-S6</mixed-citation></ref><ref id="B26"><mixed-citation>Goumari MM, Farhani I, Nezafat N, et al. Multi-epitope vaccines (MEVs), as a novel strategy against infectious diseases. Current Proteomics. 2020;17(5):354-364. DOI: https://doi.org/10.2174/1570164617666190919120140</mixed-citation></ref><ref id="B27"><mixed-citation>Park H, Jeon TJ, Chien PN, et al. Discovery of novel dusp4 inhibitors through the virtual screening with docking simulations. Bulletin of the Korean Chemical Society. 2014;35(9):2655-2659. DOI: https://doi.org/10.5012/bkcs.2014.35.9.2655</mixed-citation></ref><ref id="B28"><mixed-citation>Park H, Hong S, Kim J, et al. Discovery of picomolar ABL kinase inhibitors equipotent for wild type and T315I mutant via structure-based de novo design. Journal of the American Chemical Society. 2013;135(22):8227-8237. DOI: https://doi.org/10.1021/ja311756u</mixed-citation></ref><ref id="B29"><mixed-citation>Caballero J. The latest automated docking technologies for novel drug discovery. Expert Opinion on Drug Discovery. 2021;16(6):625-645. DOI: https://doi.org/10.1080/17460441.2021.1858793</mixed-citation></ref><ref id="B30"><mixed-citation>Filimonov DA, Lagunin AA, Gloriozova TA, et al. Prediction of the biological activity spectra of organic compounds using the PASS online web resource. Chemistry of Heterocyclic Compounds. 2014;50:444-457. DOI: https://doi.org/10.1007/s10593-014-1496-1</mixed-citation></ref><ref id="B31"><mixed-citation>Prasad P, Prashant S, Krishnan Namboori PK, et al. In Silico Evaluation of Kaempferol and Its Semisynthetic Derivative As mTORC1 Inhibitor Against Hepatocellular Carcinoma Using Molecular Docking and ADMET Analysis (January 30, 2020) [Internet]. Proceedings of International Conference on Drug Discovery (ICDD); 2020 [cited 2024 July 17]. Available from: https://ssrn.com/abstract=3528030</mixed-citation></ref><ref id="B32"><mixed-citation>Barcellos MP, Santos CBR, Federico LB, et al. Pharmacophore and structure-based drug design, molecular dynamics and admet/tox studies to design novel potential pad4 inhibitors. Journal of Biomolecular Structure and Dynamics. 2019;37(4):966-981. DOI: https://doi.org/10.1080/07391102.2018.1444511</mixed-citation></ref><ref id="B33"><mixed-citation>Susmi TF, Khan MMR, Rahman A, et al. In vitro antioxidant and cytotoxicity activities and in silico anticancer property of methanolic leaf extract of Leucas indica. Informatics in Medicine Unlocked. 2022;31:100963. DOI: https://doi.org/10.1016/j.imu.2022.100963</mixed-citation></ref><ref id="B34"><mixed-citation>Makala H, Alexandar SP, Nagarajan D, et al. Lead Generation for Human Mitotic Kinesin Eg5 Using Structure-based Virtual Screening and Validation by In-vitro and Cell-based Assays. Current Computer-Aided Drug Design. 2021;17(6):759-772. DOI: https://doi.org/10.2174/1573409916666200722141218</mixed-citation></ref><ref id="B35"><mixed-citation>Rajendran N, Subramaniam S, Raja MRC, et al. Design, synthesis and &amp;lsquo;in vitro&amp;rsquo; anti-leukemic evaluation of ferulic acid analogues as BCR-Abl inhibitors. RSC Advances. 2016;6(74):70480-70484. DOI: https://doi.org/10.1039/C6RA10106B</mixed-citation></ref><ref id="B36"><mixed-citation>Li Q, Shah S. Structure-Based Virtual Screening. In: Wu C, Arighi C, Ross K, editors. Protein Bioinformatics. Methods in Molecular Biology, vol 1558. New York: Humana Press; 2017. DOI: https://doi.org/10.1007/978-1-4939-6783-4_5</mixed-citation></ref><ref id="B37"><mixed-citation>Ravindranath PA, Forli S, Goodsell DS, et al. AutoDockFR: advances in protein-ligand docking with explicitly specified binding site flexibility. PLoS Computational Biology. 2015;11(12):e1004586. DOI: https://doi.org/10.1371/journal.pcbi.1004586</mixed-citation></ref><ref id="B38"><mixed-citation>Trott O, Olson AJ. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. Journal of Computational Chemistry. 2010;31(2):455-461. DOI: https://doi.org/10.1002/jcc.21334</mixed-citation></ref><ref id="B39"><mixed-citation>Forli S, Huey R, Pique ME, et al. Computational protein&amp;ndash;ligand docking and virtual drug screening with the AutoDock suite. Nature Protocols. 2016;11(5):905-919. DOI: https://doi.org/10.1038/nprot.2016.051</mixed-citation></ref><ref id="B40"><mixed-citation>Kunnumakkara AB, Bordoloi D, Sailo BL, et al. Cancer drug development: The missing links. Experimental Biology and Medicine. 2019;244(8):663-689. DOI: https://doi.org/10.1177/1535370219839163</mixed-citation></ref><ref id="B41"><mixed-citation>Asano T. Drug resistance in cancer therapy and the role of epigenetics. Journal of Nippon Medical School. 2020;87(5):244-251. DOI: https://doi.org/10.1272/jnms.JNMS.2020_87-508</mixed-citation></ref><ref id="B42"><mixed-citation>Gomari MM, Farsimadan M, Rostami N, et al. CD44 polymorphisms and its variants, as an inconsistent marker in cancer investigations. Mutation Research - Reviews in Mutation Research. 2021;787:108374. DOI: https://doi.org/10.1016/j.mrrev.2021.108374</mixed-citation></ref><ref id="B43"><mixed-citation>Zengin G, Mahomoodally MF, Sinan KI, et al. Evaluation of chemical constituents and biological properties of two endemic Verbascum species. Process Biochemistry. 2021;108:110-120. DOI: https://doi.org/10.1016/j.procbio.2021.06.007</mixed-citation></ref><ref id="B44"><mixed-citation>Madhavi Sastry G, Adzhigirey M, Day T, et al. Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments. Journal of Computer-Aided Molecular Design. 2013;27:221-234. DOI: https://doi.org/10.1007/s10822-013-9644-8</mixed-citation></ref><ref id="B45"><mixed-citation>Zhou W, Wang Y, Lu A, et al. Systems pharmacology in small molecular drug discovery. International Journal of Molecular Sciences. 2016;17(2):246. DOI: https://doi.org/10.3390/ijms17020246</mixed-citation></ref><ref id="B46"><mixed-citation>Kalimuthu AK, Panneerselvam T, Pavadai P, et al. Pharmacoinformatics-based investigation of bioactive compounds of Rasam (South Indian recipe) against human cancer. Scientific Reports. 2021;11(1):21488. DOI: https://doi.org/10.1038/s41598-021-01008-9</mixed-citation></ref><ref id="B47"><mixed-citation>Garrido A, Lepailleur A, Mignani SM, et al. hERG toxicity assessment: Useful guidelines for drug design. European Journal of Medicinal Chemistry. 2020;195:112290. DOI: https://doi.org/10.1016/j.ejmech.2020.112290</mixed-citation></ref><ref id="B48"><mixed-citation>Han Y, Zhang J, Hu CQ, et al. In silico ADME and toxicity prediction of ceftazidime and its impurities. Frontiers in Pharmacology. 2019;10:434. DOI: https://doi.org/10.3389/fphar.2019.00434</mixed-citation></ref><ref id="B49"><mixed-citation>Xu C, Cheng F, Chen L, et al. In silico prediction of chemical Ames mutagenicity. Journal of Chemical Information and Modeling. 2012;52(11):2840-2847. DOI: https://doi.org/10.1021/ci300400a</mixed-citation></ref><ref id="B50"><mixed-citation>Nisha CM, Kumar A, Nair P, et al. Molecular docking and in silico ADMET study reveals acylguanidine 7a as a potential inhibitor of &amp;beta;-secretase. Advances in Bioinformatics. 2016;2016:9258578. DOI: https://doi.org/10.1155/2016/9258578</mixed-citation></ref><ref id="B51"><mixed-citation>Pantsar T, Poso A. Binding affinity via docking: fact and fiction. Molecules. 2018;23(8):1899. DOI: https://doi.org/10.3390/molecules23081899</mixed-citation></ref><ref id="B52"><mixed-citation>Akgun-Cagliyan С, Cort-Donmez A, Kilic-Toprak E, et al. Verbascoside potentiates the effect of tyrosine kinase inhibitors on the induction of apoptosis and oxidative stress via the Abl-mediated MAPK signalling pathway in chronic myeloid leukaemia. Experimental and Therapeutic Medicine. 2022;24(2):514. DOI: https://doi.org/10.3892/etm.2022.11441</mixed-citation></ref><ref id="B53"><mixed-citation>Kazakova OB, Giniyatullina GV, Tolstikov GA, et al. Synthesis and antitumor activity of aminopropoxy derivatives of betulin, erythrodiol, and uvaol. Russian Journal of Bioorganic Chemistry. 2011;37:369-379. DOI: https://doi.org/10.1134/S1068162011030101</mixed-citation></ref><ref id="B54"><mixed-citation>Kim NY, Ha IJ, Um JY, et al. Loganic acid regulates the transition between epithelial and mesenchymal-like phenotypes by alleviating MnSOD expression in hepatocellular carcinoma cells. Life Sciences. 2023;317:121458.</mixed-citation></ref><ref id="B55"><mixed-citation>Joshi H, Marulkar K, Gota V, et al. Hydroxy Cinnamic Acid Derivatives as Partial PPAR &amp;gamma; Agonists: In silico Studies, Synthesis and Biological Characterization Against Chronic Myeloid Leukemia Cell Line (K562). Anti-Cancer Agents in Medicinal Chemistry. 2017;17(4):524-541. DOI: https://doi.org/10.2174/1871520616666160607010156</mixed-citation></ref><ref id="B56"><mixed-citation>Tian S, Wang J, Li Y, et al. The application of in silico drug-likeness predictions in pharmaceutical research. Advanced Drug Delivery Reviews. 2015;86:2-10. DOI: https://doi.org/10.1016/j.addr.2015.01.009</mixed-citation></ref></ref-list></back></article>