EIF4A3 targeted therapeutic intervention in glioblastoma multiforme using phytochemicals from Indian medicinal plants – an integration of phytotherapy into precision onco-medicine

References

• Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015). GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX, 1-2, 19–25. https://doi.org/10.1016/j.softx.2015.06.001
   Google Scholar
• Adams, L. S., Phung, S., Yee, N., Seeram, N. P., Li, L., & Chen, S. (2010). Blueberry phytochemicals inhibit growth and metastatic potential of MDA-MB-231 breast cancer cells through modulation of the phosphatidylinositol 3-kinase pathway. Cancer Research, 70(9), 3594–3605. https://doi.org/10.1158/0008-5472.CAN-09-3565
   PubMed Web of Science ®Google Scholar
• Adasme, M. F., Linnemann, K. L., Bolz, S. N., Kaiser, F., Salentin, S., Haupt, V. J., & Schroeder, M. (2021). PLIP 2021: Expanding the scope of the protein–ligand interaction profiler to DNA and RNA. Nucleic Acids Research, 49(W1), W530–W534. https://doi.org/10.1093/nar/gkab294
   PubMed Web of Science ®Google Scholar
• Alland, C., Moreews, F., Boens, D., Carpentier, M., Chiusa, S., Lonquety, M., Renault, N., Wong, Y., Cantalloube, H., Chomilier, J., Hochez, J., Pothier, J., Villoutreix, B. O., Zagury, J.-F., & Tufféry, P. (2005). RPBS: A web resource for structural bioinformatics. Nucleic Acids Research, 33(Web Server issue), W44–9. https://doi.org/10.1093/nar/gki477
   PubMedGoogle Scholar
• Andersen, C. B. F., Ballut, L., Johansen, J. S., Chamieh, H., Nielsen, K. H., Oliveira, C. L. P., Pedersen, J. S., Séraphin, B., Le Hir, H., & Andersen, G. R. (2006). Structure of the exon junction core complex with a trapped DEAD-Box ATPase bound to RNA. Science (New York, N.Y.), 313(5795), 1968–1972. https://doi.org/10.1126/science.1131981
   PubMed Web of Science ®Google Scholar
• Arévalo, J. M. C., & Amorim, J. C. (2022). Virtual screening, optimization and molecular dynamics analyses highlighting a pyrrolo[1,2-a]quinazoline derivative as a potential inhibitor of DNA gyrase B of Mycobacterium tuberculosis. Scientific Reports, 12(1), 4742. https://doi.org/10.1038/s41598-022-08359-x
   PubMed Web of Science ®Google Scholar
• Awuni, E., & Musah, R. A. (2023). Proposing lead compounds for the development of SARS-CoV-2 receptor-binding inhibitors. Journal of Biomolecular Structure & Dynamics, 1–16. https://doi.org/10.1080/07391102.2023.2204505
   PubMed Web of Science ®Google Scholar
• Batchelor, T. T., Mulholland, P., Neyns, B., Nabors, L. B., Campone, M., Wick, A., Mason, W., Mikkelsen, T., Phuphanich, S., Ashby, L. S., Degroot, J., Gattamaneni, R., Cher, L., Rosenthal, M., Payer, F., Jürgensmeier, J. M., Jain, R. K., Sorensen, A. G., Xu, J., Liu, Q., & van den Bent, M. (2013). Phase III randomized trial comparing the efficacy of cediranib as monotherapy, and in combination with lomustine, versus lomustine alone in patients with recurrent glioblastoma. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 31(26), 3212–3218. https://doi.org/10.1200/JCO.2012.47.2464
   PubMed Web of Science ®Google Scholar
• Bitencourt-Ferreira, G., Pintro, V. O., & de Azevedo, W. F. (2019). Docking with AutoDock4. Methods in Molecular Biology (Clifton, N.J.), 2053, 125–148. https://doi.org/10.1007/978-1-4939-9752-7_9
   PubMedGoogle Scholar
• Bhardwaj, V. K., & Purohit, R. (2020). A new insight into protein-protein interactions and the effect of conformational alterations in PCNA. International Journal of Biological Macromolecules, 148, 999–1009. https://doi.org/10.1016/j.ijbiomac.2020.01.212
   PubMed Web of Science ®Google Scholar
• Bhardwaj, V. K., & Purohit, R. (2019). Computational investigation on effect of mutations in PCNA resulting in structural perturbations and inhibition of mismatch repair pathway. Journal of Biomolecular Structure & Dynamics, 38(7), 1963–1974. https://doi.org/10.1080/07391102.2019.1621210
   PubMed Web of Science ®Google Scholar
• Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005). The Amber biomolecular simulation programs. Journal of Computational Chemistry, 26(16), 1668–1688. https://doi.org/10.1002/jcc.20290
   PubMed Web of Science ®Google Scholar
• Chang, E., Pohling, C., Natarajan, A., Witney, T. H., Kaur, J., Xu, L., Gowrishankar, G., D'Souza, A. L., Murty, S., Schick, S., Chen, L., Wu, N., Khaw, P., Mischel, P., Abbasi, T., Usmani, S., Mallick, P., & Gambhir, S. S. (2016). AshwaMAX and Withaferin A inhibits gliomas in cellular and murine orthotopic models. Journal of Neuro-Oncology, 126(2), 253–264. https://doi.org/10.1007/s11060-015-1972-1
   PubMed Web of Science ®Google Scholar
• Chang, M. W., Ayeni, C., Breuer, S., & Torbett, B. E. (2010). Virtual screening for HIV protease inhibitors: A comparison of AutoDock 4 and Vina. PloS One, 5(8), e11955. https://doi.org/10.1371/journal.pone.0011955
   PubMed Web of Science ®Google Scholar
• Chen, F., Wang, Z., Wang, C., Xu, Q., Liang, J., Xu, X., Yang, J., Wang, C., Jiang, T., & Yu, R. (2017). Application of reverse docking for target prediction of marine compounds with anti-tumor activity. Journal of Molecular Graphics & Modelling, 77, 372–377. https://doi.org/10.1016/j.jmgm.2017.09.015
   PubMed Web of Science ®Google Scholar
• Çoban, G. (2024). Structure-based virtual screening and molecular dynamics simulations for detecting novel candidates for allosteric inhibition of EGFRT790M. Journal of Biomolecular Structure & Dynamics, 42(2), 571–597. https://doi.org/10.1080/07391102.2023.2194425
   PubMed Web of Science ®Google Scholar
• Deng, Q.-P., Wang, M.-J., Zeng, X., Chen, G. G., & Huang, R.-Y. (2017). Effects of Glycyrrhizin in a Mouse Model of Lung Adenocarcinoma. Cellular Physiology and Biochemistry: International Journal of Experimental Cellular Physiology, Biochemistry, and Pharmacology, 41(4), 1383–1392. https://doi.org/10.1159/000467897
   PubMedGoogle Scholar
• Dhami, J., Chang, E., & Gambhir, S. S. (2017). Withaferin A and its potential role in glioblastoma (GBM). Journal of Neuro-Oncology, 131(2), 201–211. https://doi.org/10.1007/s11060-016-2303-x
   PubMed Web of Science ®Google Scholar
• Dou, J., Wang, Z., Ma, L., Peng, B., Mao, K., Li, C., Su, M., Zhou, C., & Peng, G. (2018). Baicalein and baicalin inhibit colon cancer using two distinct fashions of apoptosis and senescence. Oncotarget, 9(28), 20089–20102. https://doi.org/10.18632/oncotarget.24015
   PubMedGoogle Scholar
• Duan, L., Liu, X., & Zhang, J. Z. H. (2016). Interaction Entropy: A New Paradigm for Highly Efficient and Reliable Computation of Protein–Ligand Binding Free Energy. Journal of the American Chemical Society, 138(17), 5722–5728. https://doi.org/10.1021/jacs.6b02682
   PubMed Web of Science ®Google Scholar
• Efferth, T., Saeed, M. E. M., Mirghani, E., Alim, A., Yassin, Z., Saeed, E., Khalid, H. E., & Daak, S. (2017). Integration of phytochemicals and phytotherapy into cancer precision medicine. Oncotarget, 8(30), 50284–50304. https://doi.org/10.18632/oncotarget.17466
   PubMedGoogle Scholar
• Eswaramoorthy, R., Hailekiros, H., Kedir, F., & Endale, M. (2021). In silico Molecular Docking, DFT Analysis and ADMET Studies of Carbazole Alkaloid and Coumarins from Roots of Clausena anisata: A Potent Inhibitor for Quorum Sensing. Advances and Applications in Bioinformatics and Chemistry: AABC, 14, 13–24. https://doi.org/10.2147/AABC.S290912
   PubMedGoogle Scholar
• Frédérich, M., Marcowycz, A., Cieckiewicz, E., Mégalizzi, V., Angenot, L., & Kiss, R. (2009). In vitro anticancer potential of tree extracts from the Walloon Region forest. Planta Medica, 75(15), 1634–1637. https://doi.org/10.1055/s-0029-1185867
   PubMed Web of Science ®Google Scholar
• Fu, L., Ye, F., Feng, Y., Yu, F., Wang, Q., Wu, Y., Zhao, C., Sun, H., Huang, B., Niu, P., Song, H., Shi, Y., Li, X., Tan, W., Qi, J., & Gao, G. F. (2020). Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease. Nature Communications, 11(1), 4417. https://doi.org/10.1038/s41467-020-18233-x
   PubMed Web of Science ®Google Scholar
• Garg, S., Kaul, S. C., & Wadhwa, R. (2018). Anti-stress and glial differentiation effects of a novel combination of cucurbitacin B and withanone (CucWi-N): experimental evidence. Annals of Neurosciences, 25(4), 201–209. https://doi.org/10.1159/000490693
   PubMedGoogle Scholar
• Genheden, S., & Ryde, U. (2015). The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities. Expert Opinion on Drug Discovery, 10(5), 449–461. https://doi.org/10.1517/17460441.2015.1032936
   PubMed Web of Science ®Google Scholar
• Hanif, F., Muzaffar, K., Perveen, K., Malhi, S. M., & Simjee, S. U. (2017). Glioblastoma multiforme: A review of its epidemiology and pathogenesis through clinical presentation and treatment. Asian Pacific Journal of Cancer Prevention: APJCP, 18(1), 3–9. https://doi.org/10.22034/APJCP.2017.18.1.3
   PubMedGoogle Scholar
• Ibrahim, J. M., A, S., Nair, A. S., Oommen, O. V., & Sudhakaran, P. R. (2023). In silico screening and epitope mapping of leptospiral outer membrane protein—Lsa46. Journal of Biomolecular Structure & Dynamics, 41(1), 26–44. https://doi.org/10.1080/07391102.2021.2003247
   PubMed Web of Science ®Google Scholar
• Jethwa, M., Gangopadhyay, A., & Saha, A. (2023). Search for potentially biased epidermal growth factor receptor (EGFR) inhibitors through pharmacophore modelling, molecular docking, and molecular dynamics (MD) simulation approaches. Journal of Biomolecular Structure & Dynamics, 41(5), 1681–1689. https://doi.org/10.1080/07391102.2021.2023644
   PubMed Web of Science ®Google Scholar
• Jovčevska, I., Zupanec, N., Urlep, Ž., Vranič, A., Matos, B., Stokin, C. L., Muyldermans, S., Myers, M. P., Buzdin, A. A., Petrov, I., & Komel, R. (2017). Differentially expressed proteins in glioblastoma multiforme identified with a nanobody-based anti-proteome approach and confirmed by OncoFinder as possible tumor-class predictive biomarker candidates. Oncotarget, 8(27), 44141–44158. https://doi.org/10.18632/oncotarget.17390
   PubMedGoogle Scholar
• Kellenberger, E., Rodrigo, J., Muller, P., & Rognan, D. (2004). Comparative evaluation of eight docking tools for docking and virtual screening accuracy. Proteins, 57(2), 225–242. https://doi.org/10.1002/prot.20149
   PubMed Web of Science ®Google Scholar
• Kinra, M., Joseph, A., Nampoothiri, M., Arora, D., & Mudgal, J. (2021). Inhibition of NLRP3-inflammasome mediated IL-1β release by phenylpropanoic acid derivatives: In-silico and in-vitro approach. European Journal of Pharmaceutical Sciences: Official Journal of the European Federation for Pharmaceutical Sciences, 157, 105637. https://doi.org/10.1016/j.ejps.2020.105637
   PubMed Web of Science ®Google Scholar
• Lee, W.-L., Huang, J.-Y., & Shyur, L.-F. (2013). Phytoagents for Cancer Management: Regulation of Nucleic Acid Oxidation, ROS, and Related Mechanisms. Oxidative Medicine and Cellular Longevity, 2013, 925804. https://doi.org/10.1155/2013/925804
   PubMed Web of Science ®Google Scholar
• Legler, J. M., Gloeckler Ries, L. A., Smith, M. A., Warren, J. L., Heineman, E. F., Kaplan, R. S., & Linet, M. S. (1999). RESPONSE: Re: Brain and Other Central Nervous System Cancers: Recent Trends in Incidence and Mortality.Journal of the National Cancer Institute, 91(23),2050A–22051. https://doi.org/10.1093/jnci/91.23.2050A
   PubMedGoogle Scholar
• Li, G., Zhou, W., Zhao, X., & Xie, Y. (2021). In silico molecular docking and interaction analysis of traditional chinese medicines against SARS-CoV-2 Receptor. Natural Product Communications, 16(5), 1934578X2110150. https://doi.org/10.1177/1934578X211015030
   Web of Science ®Google Scholar
• Li, X., Wang, C., Chen, G., Zou, W., Deng, Y., & Zhou, F. (2022). EIF4A3-induced circCCNB1 (hsa_circ_0001495) promotes glioma progression by elevating CCND1 through interacting miR-516b-5p and HuR. Metabolic Brain Disease, 37(3), 819–833. https://doi.org/10.1007/s11011-021-00899-x
   PubMed Web of Science ®Google Scholar
• Li, Y., Zheng, X., Wang, J., Sun, M., Li, D., Wang, Z., Li, J., Li, Y., & Liu, Y. (2023). Exosomal < scp > circ‐AHCY</scp > promotes glioblastoma cell growth via Wnt/β‐catenin signaling pathway. Annals of Clinical and Translational Neurology, 10(6), 865–878. https://doi.org/10.1002/acn3.51743
   PubMed Web of Science ®Google Scholar
• Liu, X., Guo, Q., Gao, G., Cao, Z., Guan, Z., Jia, B., Wang, W., Zhang, K., Zhang, W., Wang, S., Li, W., Hao, Q., Zhang, Y., Li, M., Zhang, W., & Gu, J. (2023). Exosome-transmitted circCABIN1 promotes temozolomide resistance in glioblastoma via sustaining ErbB downstream signaling. Journal of Nanobiotechnology, 21(1), 45. https://doi.org/10.1186/s12951-023-01801-w
   PubMed Web of Science ®Google Scholar
• Liu, N., & Xu, Z. (2019). Using LeDock as a docking tool for computational drug design. In IOP Conference Series: Earth and Environmental Science. IOP Publishing, 218(1), 012143. https://doi.org/10.1088/1755-1315/218/1/012143
   Google Scholar
• Lu, L., Zhao, Z., Liu, L., Gong, W., & Dong, J. (2018). Combination of baicalein and docetaxel additively inhibits the growth of non-small cell lung cancer in vivo. Traditional Medicine and Modern Medicine, 01(03), 213–218. https://doi.org/10.1142/S2575900018500131
   Google Scholar
• Mark, P., & Nilsson, L. (2001). Structure and dynamics of the TIP3P, SPC, and SPC/E water models at 298 K. The Journal of Physical Chemistry A, 105(43), 9954–9960. https://doi.org/10.1021/jp003020w
   Web of Science ®Google Scholar
• Martínez, L. (2015). Automatic identification of mobile and rigid substructures in molecular dynamics simulations and fractional structural fluctuation analysis. PloS One, 10(3), e0119264. https://doi.org/10.1371/journal.pone.0119264
   PubMed Web of Science ®Google Scholar
• Mian, S. Y., Nambiar, A., & Kaliaperumal, C. (2022). Phytotherapy for the treatment of Glioblastoma: A review. Frontiers in Surgery, 9, 844993. https://doi.org/10.3389/fsurg.2022.844993
   PubMed Web of Science ®Google Scholar
• Mohanraj, K., Karthikeyan, B. S., Vivek-Ananth, R. P., Chand, R. P. B., Aparna, S. R., Mangalapandi, P., & Samal, A. (2018). IMPPAT: A curated database of Indian medicinal plants, phytochemistry and therapeutics. Scientific Reports, 8(1), 4329. https://doi.org/10.1038/s41598-018-22631-z
   PubMed Web of Science ®Google Scholar
• Morris, G. M., Goodsell, D. S., Halliday, R. S., Huey, R., Hart, W. E., Belew, R. K., & Olson, A. J. (1998). Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function. Journal of computational chemistry, 19(14), 1639–1662. https://doi.org/10.1002/(SICI)1096-987X(19981115)19:14<1639::AID-JCC10>3.0.CO;2-B
   Web of Science ®Google Scholar
• Morris, G. M., Huey, R., Lindstrom, W., Sanner, M. F., Belew, R. K., Goodsell, D. S., & Olson, A. J. (2009). AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. Journal of Computational Chemistry, 30(16), 2785–2791. https://doi.org/10.1002/jcc.21256
   PubMed Web of Science ®Google Scholar
• Murthy, S. V., Fathima, S. N., & Mote, R. (2022). Hydroalcoholic extract of ashwagandha improves sleep by modulating GABA/Histamine receptors and EEG slow-wave pattern in in vitro - in vivo experimental models. Preventive Nutrition and Food Science, 27(1), 108–120. https://doi.org/10.3746/pnf.2022.27.1.108
   PubMedGoogle Scholar
• Nayarisseri, A., & Hood, E. A. (2018). Advancement in microbial cheminformatics. Current Topics in Medicinal Chemistry, 18(29), 2459–2461. https://doi.org/10.2174/1568026619666181120121528
   PubMed Web of Science ®Google Scholar
• Newman, D. J., & Cragg, G. M. (2007). Natural products as sources of new drugs over the last 25 years. Journal of Natural Products, 70(3), 461–477. https://doi.org/10.1021/np068054v
   PubMed Web of Science ®Google Scholar
• Nocedal, J., & Wright, S. J. (Eds.). (1999). Numerical Optimization. Springer-Verlag. https://doi.org/10.1007/b98874
   Google Scholar
• Panossian, A., Seo, E.-J., & Efferth, T. (2018). Novel molecular mechanisms for the adaptogenic effects of herbal extracts on isolated brain cells using systems biology. Phytomedicine: International Journal of Phytotherapy and Phytopharmacology, 50, 257–284. https://doi.org/10.1016/j.phymed.2018.09.204
   PubMed Web of Science ®Google Scholar
• Cojocneanu Petric, R., Braicu, C., Raduly, L., Zanoaga, O., Dragos, N., Monroig, P., Dumitrascu, D., & Berindan-Neagoe, I. (2015). Phytochemicals modulate carcinogenic signaling pathways in breast and hormone-related cancers. OncoTargets and Therapy, 8, 2053–2066. https://doi.org/10.2147/OTT.S83597
   PubMed Web of Science ®Google Scholar
• Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004). UCSF Chimera?A visualization system for exploratory research and analysis. Journal of Computational Chemistry, 25(13), 1605–1612. https://doi.org/10.1002/jcc.20084
   PubMed Web of Science ®Google Scholar
• Pistollato, F., Bremer-Hoffmann, S., Basso, G., Cano, S. S., Elio, I., Vergara, M. M., Giampieri, F., & Battino, M. (2016). Targeting glioblastoma with the use of phytocompounds and nanoparticles. Targeted Oncology, 11(1), 1–16. https://doi.org/10.1007/s11523-015-0378-5
   PubMed Web of Science ®Google Scholar
• Romano, J. D., & Tatonetti, N. P. (2019). Informatics and Computational Methods in Natural Product Drug Discovery: A Review and Perspectives. Frontiers in Genetics, 10, 368. https://doi.org/10.3389/fgene.2019.00368
   PubMed Web of Science ®Google Scholar
• Salentin, S., Schreiber, S., Haupt, V. J., Adasme, M. F., & Schroeder, M. (2015). PLIP: Fully automated protein–ligand interaction profiler. Nucleic Acids Research, 43(W1), W443–W447. https://doi.org/10.1093/nar/gkv315
   PubMed Web of Science ®Google Scholar
• Shah, N., Kataria, H., Kaul, S. C., Ishii, T., Kaur, G., & Wadhwa, R. (2009). Effect of the alcoholic extract of Ashwagandha leaves and its components on proliferation, migration, and differentiation of glioblastoma cells: Combinational approach for enhanced differentiation. Cancer Science, 100(9), 1740–1747. https://doi.org/10.1111/j.1349-7006.2009.01236.x
   PubMed Web of Science ®Google Scholar
• Shah, N., Singh, R., Sarangi, U., Saxena, N., Chaudhary, A., Kaur, G., Kaul, S. C., & Wadhwa, R. (2015). Combinations of Ashwagandha leaf extracts protect brain-derived cells against oxidative stress and induce differentiation. PloS One, 10(3), e0120554. https://doi.org/10.1371/journal.pone.0120554
   PubMed Web of Science ®Google Scholar
• Sharda, S., Khandelwal, R., Adhikary, R., Sharma, D., Majhi, M., Hussain, T., Nayarisseri, A., & Singh, S. K. (2019). A computer - aided drug designing for pharmacological inhibition of mutant ALK for the treatment of non-small cell lung cancer. Current Topics in Medicinal Chemistry, 19(13), 1129–1144. https://doi.org/10.2174/1568026619666190521084941
   PubMed Web of Science ®Google Scholar
• Singh, R., Bhardwaj, V., & Purohit, R. (2021). Identification of a novel binding mechanism of Quinoline based molecules with lactate dehydrogenase of Plasmodium falciparum. Journal of Biomolecular Structure & Dynamics, 39(1), 348–356. https://doi.org/10.1080/07391102.2020.1711809
   PubMed Web of Science ®Google Scholar
• Singh, S., Khare, G., Bahal, R. K., Ghosh, P. C., & Tyagi, A. K. (2018). Identification of Mycobacterium tuberculosis BioA inhibitors by using structure-based virtual screening. Drug Design, Development and Therapy, 12, 1065–1079.https://doi.org/10.2147/DDDT.S144240
   PubMed Web of Science ®Google Scholar
• Sousa da Silva, A. W., & Vranken, W. F. (2012). ACPYPE - AnteChamber PYthon Parser interfacE. BMC Research Notes, 5(1), 367. https://doi.org/10.1186/1756-0500-5-367
   PubMedGoogle Scholar
• Souza, J. V. P., Kioshima, E. S., Murase, L. S., Lima, D. S., Seixas, F. A. V., Maigret, B., & Cardoso, R. F. (2023). Identification of new putative inhibitors of Mycobacterium tuberculosis 3-dehydroshikimate dehydratase from a combination of ligand- and structure-based and deep learning in silico approaches. Journal of Biomolecular Structure & Dynamics, 41(7), 2971–2980.https://doi.org/10.1080/07391102.2022.2042389
   PubMed Web of Science ®Google Scholar
• Straeter, T. A. (1971). On the Extension of the Davidon-Broyden Class of Rank One, Quasi-Newton Minimization Methods to an Infinite Dimensional Hilbert Space with Applications to Optimal Control Problems. North Carolina State University Raleigh, NC.
   Google Scholar
• Sympli, H. D. (2021). Estimation of drug-likeness properties of GC-MS separated bioactive compounds in rare medicinal Pleione maculata using molecular docking technique and SwissADME in silico tools. Network Modeling and Analysis in Health Informatics and Bioinformatics, 10(1), 14. https://doi.org/10.1007/s13721-020-00276-1
   PubMed Web of Science ®Google Scholar
• Tang, W., Wang, D., Shao, L., Liu, X., Zheng, J., Xue, Y., Ruan, X., Yang, C., Liu, L., Ma, J., Li, Z., & Liu, Y. (2020). LINC00680 and TTN-AS1 Stabilized by EIF4A3 Promoted Malignant Biological Behaviors of Glioblastoma Cells. Molecular Therapy. Nucleic Acids, 19, 905–921. https://doi.org/10.1016/j.omtn.2019.10.043
   PubMedGoogle Scholar
• Thakur, A., Patwa, J., Pant, S., Sharma, A., & Flora, S. J. S. (2021). Interaction study of monoisoamyl dimercaptosuccinic acid with bovine serum albumin using biophysical and molecular docking approaches. Scientific Reports, 11(1), 4068. https://doi.org/10.1038/s41598-021-83534-0
   PubMed Web of Science ®Google Scholar
• Tietcheu Galani, B. R., Ayissi Owona, V. B., Guemmogne Temdie, R. J., Metzger, K., Atsama Amougou, M., Djamen Chuisseu, P. D., Fondjo Kouam, A., Ngounoue Djuidje, M., Aliouat-Denis, C.-M., Cocquerel, L., & Fewou Moundipa, P. (2021). In silico and in vitro screening of licensed antimalarial drugs for repurposing as inhibitors of hepatitis E virus. In Silico Pharmacology, 9(1), 35. https://doi.org/10.1007/s40203-021-00093-y
   PubMedGoogle Scholar
• Trott, O., & Olson, A. J. (2010). AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. Journal of Computational Chemistry, 31(2), 455–461. https://doi.org/10.1002/jcc.21334
   PubMed Web of Science ®Google Scholar
• Valdés-Tresanco, M. S., Valdés-Tresanco, M. E., Valiente, P. A., & Moreno, E. (2021). gmx_MMPBSA: A new tool to perform end-state free energy calculations with GROMACS. Journal of Chemical Theory and Computation, 17(10), 6281–6291. https://doi.org/10.1021/acs.jctc.1c00645
   PubMed Web of Science ®Google Scholar
• Verdonk, M. L., Cole, J. C., Hartshorn, M. J., Murray, C. W., & Taylor, R. D. (2003). Improved protein-ligand docking using GOLD. Proteins, 52(4), 609–623. https://doi.org/10.1002/prot.10465
   PubMed Web of Science ®Google Scholar
• Wang, E., Sun, H., Wang, J., Wang, Z., Liu, H., Zhang, J. Z. H., & Hou, T. (2019). End-point binding free energy calculation with MM/PBSA and MM/GBSA: strategies and applications in drug design. Chemical Reviews, 119(16), 9478–9508. https://doi.org/10.1021/acs.chemrev.9b00055
   PubMed Web of Science ®Google Scholar
• Wang, L., An, Y., Wei, X., Huang, X., Tu, Y., Qiao, L., & Zhu, W. (2023). In silico screening combined with bioactivity evaluation to identify AMI-1 as a novel anticancer compound by targeting AXL. Journal of Biomolecular Structure & Dynamics, 1–13. https://doi.org/10.1080/07391102.2023.2255654
   Web of Science ®Google Scholar
• Wang, Q., Rager, J. D., Weinstein, K., Kardos, P. S., Dobson, G. L., Li, J., & Hidalgo, I. J. (2005). Evaluation of the MDR-MDCK cell line as a permeability screen for the blood–brain barrier. International Journal of Pharmaceutics, 288(2), 349–359. https://doi.org/10.1016/j.ijpharm.2004.10.007
   PubMed Web of Science ®Google Scholar
• Wang, R., Zhang, S., Chen, X., Li, N., Li, J., Jia, R., Pan, Y., & Liang, H. (2018). EIF4A3-induced circular RNA MMP9 (circMMP9) acts as a sponge of miR-124 and promotes glioblastoma multiforme cell tumorigenesis. Molecular Cancer, 17(1), 166. https://doi.org/10.1186/s12943-018-0911-0
   PubMed Web of Science ®Google Scholar
• Wei, L., Pan, M., Jiang, Q., Hu, B., Zhao, J., Zou, C., Chen, L., Tang, C., & Zou, D. (2023). Eukaryotic initiation factor 4 A-3 promotes glioblastoma growth and invasion through the Notch1-dependent pathway. BMC Cancer, 23(1), 550. https://doi.org/10.1186/s12885-023-10946-8
   PubMed Web of Science ®Google Scholar
• Wei, Y., Lu, C., Zhou, P., Zhao, L., Lyu, X., Yin, J., Shi, Z., & You, Y. (2021). EIF4A3-induced circular RNA ASAP1 promotes tumorigenesis and temozolomide resistance of glioblastoma via NRAS/MEK1/ERK1-2 signaling. Neuro-oncology, 23(4), 611–624. https://doi.org/10.1093/neuonc/noaa214
   PubMed Web of Science ®Google Scholar
• Wong, E. T., Hess, K. R., Gleason, M. J., Jaeckle, K. A., Kyritsis, A. P., Prados, M. D., Levin, V. A., & Yung, W. K. (1999). Outcomes and prognostic factors in recurrent glioma patients enrolled onto phase II clinical trials. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology, 17(8), 2572–2578. https://doi.org/10.1200/JCO.1999.17.8.2572
   PubMed Web of Science ®Google Scholar
• Yan, X.-B, et al. (2018). Apigenin inhibits proliferation of human chondrosarcoma cells via cell cycle arrest and mitochondrial apoptosis induced by ROS generation-an in vitro and in vivo study. International Journal of Clinical and Experimental Medicine. 11(3), 1615–1631. https://e-century.us/files/ijcem/11/3/ijcem0057902.pdf.
   Web of Science ®Google Scholar
• Xiong, G., Wu, Z., Yi, J., Fu, L., Yang, Z., Hsieh, C., Yin, M., Zeng, X., Wu, C., Lu, A., Chen, X., Hou, T., & Cao, D. (2021). ADMETlab 2.0: An integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Research, 49(W1), W5–W14. https://doi.org/10.1093/nar/gkab255
   PubMed Web of Science ®Google Scholar
• Xu, L., Sun, H., Li, Y., Wang, J., & Hou, T. (2013). Assessing the performance of MM/PBSA and MM/GBSA methods. 3. The impact of force fields and ligand charge models. The Journal of Physical Chemistry. B, 117(28), 8408–8421.https://doi.org/10.1021/jp404160y
   PubMed Web of Science ®Google Scholar
• Youlden, D. R., Baade, P. D., Valery, P. C., Ward, L. J., Green, A. C., & Aitken, J. F. (2012). Childhood cancer mortality in Australia. Cancer Epidemiology, 36(5), 476–480. https://doi.org/10.1016/j.canep.2012.06.001
   PubMed Web of Science ®Google Scholar
• Zhang, W., Su, J., Xu, H., Yu, S., Liu, Y., Zhang, Y., Sun, L., Yue, Y., & Zhou, X. (2017). Dicumarol inhibits PDK1 and targets multiple malignant behaviors of ovarian cancer cells. PloS One, 12(6), e0179672. https://doi.org/10.1371/journal.pone.0179672
   PubMed Web of Science ®Google Scholar
• Zhu, Y., Ren, C., & Yang, L. (2021). Effect of eukaryotic translation initiation factor 4A3 in malignant tumors. Oncology Letters, 21(5), 358. https://doi.org/10.3892/ol.2021.12619
   PubMed Web of Science ®Google Scholar