Research Article
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Year 2024, Volume: 52 Issue: 4, 261 - 271, 11.10.2024
https://doi.org/10.15671/hjbc.1425787

Abstract

References

  • X. Liu, Z. Wang, X. Zhang, X. Lv, Y. Sun, R. Dong, G. Li, X. Ren, Z. Ji, X.A. Yuan, Z. Liu, Configurationally regulated half-sandwich iridium(III)-ferrocene heteronuclear metal complexes: Potential anticancer agents, J. Inorg. Biochem. 249 (2023) 112393.
  • A. Castellano-Hinojosa, M.J. Gallardo-Altamirano, J. González-López, A. González-Martínez, Anticancer drugs drive changes in the performance, abundance, diversity, and composition of eukaryotic communities of an aerobic granular sludge system, Chemosphere, 345 (2023) 140374.
  • K.B. Patel, S. Mukherjee, H. Bhatt, D. Rajani, I. Ahmad, H. Patel, P. Kumari, Synthesis, docking, and biological investigations of new coumarin-piperazine hybrids as potential antibacterial and anticancer agents, J. Mol. Struct., 1276 (2023) 134755.
  • I. Ali, M. Hozaifa, S. Ali, A. Malik, M. Locatelli, Advances in ionic liquids as future anti-cancer drugs, J. Mol. Liq., 388 (2023) 122823.
  • O. Iwaloye, P.O. Ottu, F. Olawale, O.O. Babalola, O.O. Elekofehinti, B. Kikiowo, A.E. Adegboyega, H.N. Ogbonna, C.F. Adeboboye, I.M. Folorunso, A.E. Fakayode, M.O. Akinjiyan, S.A. Onikanni, S. Shityakov, Computer-aided drug design in anti-cancer drug discovery: What have we learnt and what is the way forward?, Inform. Med. Unlocked., 41 (2023) 101332.
  • S.Z. Gheshlaghi, A. Ebrahimi, Z. Faghih, Z. Faghih, A. Shahraki, L. Emami, Azole-methyl-3-(4-phenoxyphenyl) quinazolin-4(3H) ones, novel quinazoline-azole hybrid scaffolds, as new potent anticancer agents: Design, synthesis, biological evaluation, molecular dynamic simulation and theoretical approach, Tetrahedron, 147 (2023) 133650.
  • B. Türkmenoğlu, Investigation of novel compounds via in silico approaches of EGFR inhibitors as anticancer agents, J. Indian Chem. Soc., 99 (2022) 100601.
  • P. Jia, J. Pei, G. Wang, X. Pan, Y. Zhu, Y. Wu, L. Ouyang, The roles of computer-aided drug synthesis in drug development, Green Synth. Catal., 3 (2022) 11–24.
  • S. Kecel-Gunduz, Y. Budama-Kilinc, B. Gok, B. Bicak, G. Akman, B. Arvas, F. Aydogan, C. Yolacan, Computer-aided anticancer drug design: In vitro and in silico studies of new iminocoumarin derivative, J. Mol. Struct., 1239 (2021) 130539.
  • I.H. Eissa, R.G. Yousef, M.A. Asmaey, H. Elkady, D.Z. Husein, A.A. Alsfouk, I.M. Ibrahim, M.A. Elkady, E.B. Elkaeed, A.M. Metwaly, Computer-assisted drug discovery (CADD) of an anti-cancer derivative of the theobromine alkaloid inhibiting VEGFR-2, Saudi Pharm. J., 31 (2023) 101852.
  • C. Mottini, F. Napolitano, Z. Li, X. Gao, L. Cardone, Computer-aided drug repurposing for cancer therapy: Approaches and opportunities to challenge anticancer targets, Semin Cancer Biol., 68 (2021) 59–74.
  • I.H. Eissa, R.G. Yousef, M. Sami, E.B. Elkaeed, B.A. Alsfouk, I.M. Ibrahim, D.Z. Husein, H. Elkady, A.M. Metwaly, Exploring the anticancer properties of a new nicotinamide analogue: Investigations into in silico analysis, antiproliferative effects, selectivity, VEGFR-2 inhibition, apoptosis induction, and migration suppression, Pathol. Res. Pract., 252 (2023) 154924.
  • Ç. Karabacak Atay, Ö. Dilek, T. Tilki, B. Dede, A novel imidazole-based azo molecule: synthesis, characterization, quantum chemical calculations, molecular docking, molecular dynamics simulations and ADMET properties, J. Mol. Model, 29 (2023) 226.
  • Ö. Dilek, B. Dede, Ç. Karabacak Atay, T. Tilki, Promising agent for the efficient extraction of Co(II) ions from aqueous medium and its metal complexes: Synthesis, theoretical calculations and solvent extraction, Polyhedron, 250 (2024) 116843.
  • Frisch, M. J., G. W., Trucks, H. B., Schlegel, G. E., Scuseria, M. A., Robb, J. R., Cheeseman, G., Scalmani, V., Barone, G. A., Petersson, H., Nakatsuji, X., Li, M., Caricato, A., Marenich, J., Bloino, B. G., Janesko, R., Gomperts, B., Mennucci, H. P., Hratchian, J. V., Ortiz, A. F I., D. J. F. 2016. Gaussian 09, Revision E.01. Gaussian, Inc.
  • O. Trott, A.J. Olson, AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, J. Comput. Chem., 31 (2010) 455–461.
  • H.M. Berman, The Protein Data Bank, Nucleic Acids Res., 28 (2000) 235–242.
  • B. Webb, A. Sali, Comparative Protein Structure Modeling Using MODELLER, Curr. Protoc. Bioinformatics, 54 (2016) 5.6.1-5.6.37.
  • BIOVIA (2021) Discovery Studio Visualizer, version 21.1.0.20298. Dassault Systèmes, San Diego, CA.
  • E.F. Pettersen, T.D. Goddard, C.C. Huang, G.S. Couch, D.M. Greenblatt, E.C. Meng, T.E. Ferrin, UCSF Chimera—A visualization system for exploratory research and analysis, J. Comput. Chem., 25 (2004) 1605–1612.
  • E. Krieger, G. Vriend, YASARA View—molecular graphics for all devices—from smartphones to workstations, Bioinformatics, 30 (2014) 2981–2982.
  • E. Krieger, R.L. Dunbrack, R.W.W. Hooft, B. Krieger, Assignment of Protonation States in Proteins and Ligands: Combining pKa Prediction with Hydrogen Bonding Network Optimization, in: 2012: pp. 405–421.
  • E. Krieger, J.E. Nielsen, C.A.E.M. Spronk, G. Vriend, Fast empirical pKa prediction by Ewald summation, J. Mol. Graph. Model, 25 (2006) 481–486.
  • J.A. Maier, C. Martinez, K. Kasavajhala, L. Wickstrom, K.E. Hauser, C. Simmerling, ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB, J. Chem. Theory Comput., 11 (2015) 3696–3713.
  • J. Wang, R.M. Wolf, J.W. Caldwell, P.A. Kollman, D.A. Case, Development and testing of a general amber force field, J. Comput. Chem., 25 (2004) 1157–1174.
  • A. Jakalian, D.B. Jack, C.I. Bayly, Fast, efficient generation of high‐quality atomic charges. AM1‐BCC model: II. Parameterization and validation, J. Comput. Chem., 23 (2002) 1623–1641.
  • V. Hornak, R. Abel, A. Okur, B. Strockbine, A. Roitberg, C. Simmerling, Comparison of multiple Amber force fields and development of improved protein backbone parameters, Proteins: Structure, Function, and Bioinformatics 65 (2006) 712–725.
  • U. Essmann, L. Perera, M.L. Berkowitz, T. Darden, H. Lee, L.G. Pedersen, A smooth particle mesh Ewald method, J. Chem. Phys., 103 (1995) 8577–8593.
  • E. Krieger, G. Vriend, New ways to boost molecular dynamics simulations, J. Comput. Chem., 36 (2015) 996–1007.

Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective

Year 2024, Volume: 52 Issue: 4, 261 - 271, 11.10.2024
https://doi.org/10.15671/hjbc.1425787

Abstract

Cancer is a disease in which cells grow abnormally and uncontrollably and destroy body tissue, and it is one of the most important threats to human health. In this study, the interaction of a molecule containing imine and azo groups (DIDA) with tumor growth-related VEGFR2 (PDB ID: 2XIR) and EGFR (PDB ID: 1M17) proteins was investigated by molecular docking and molecular dynamics simulation methods. The molecular docking study revealed that the best binding occurred between DIDA-2XIR with a binding energy of -12.4 kcal/mol. Molecular dynamics simulation was used to verify the stability of the DIDA-2XIR complex. RMSD, RMSF, SASA, Rg parameters and number of hydrogen bonds obtained during molecular dynamics simulations showed that the DIDA-2XIR complex was stable at the molecular level. Our findings have made an important contribution to the understanding of the mechanism of interaction of the DIDA with VEGFR2 and support its availability as a potential VEGFR2 inhibitor.

References

  • X. Liu, Z. Wang, X. Zhang, X. Lv, Y. Sun, R. Dong, G. Li, X. Ren, Z. Ji, X.A. Yuan, Z. Liu, Configurationally regulated half-sandwich iridium(III)-ferrocene heteronuclear metal complexes: Potential anticancer agents, J. Inorg. Biochem. 249 (2023) 112393.
  • A. Castellano-Hinojosa, M.J. Gallardo-Altamirano, J. González-López, A. González-Martínez, Anticancer drugs drive changes in the performance, abundance, diversity, and composition of eukaryotic communities of an aerobic granular sludge system, Chemosphere, 345 (2023) 140374.
  • K.B. Patel, S. Mukherjee, H. Bhatt, D. Rajani, I. Ahmad, H. Patel, P. Kumari, Synthesis, docking, and biological investigations of new coumarin-piperazine hybrids as potential antibacterial and anticancer agents, J. Mol. Struct., 1276 (2023) 134755.
  • I. Ali, M. Hozaifa, S. Ali, A. Malik, M. Locatelli, Advances in ionic liquids as future anti-cancer drugs, J. Mol. Liq., 388 (2023) 122823.
  • O. Iwaloye, P.O. Ottu, F. Olawale, O.O. Babalola, O.O. Elekofehinti, B. Kikiowo, A.E. Adegboyega, H.N. Ogbonna, C.F. Adeboboye, I.M. Folorunso, A.E. Fakayode, M.O. Akinjiyan, S.A. Onikanni, S. Shityakov, Computer-aided drug design in anti-cancer drug discovery: What have we learnt and what is the way forward?, Inform. Med. Unlocked., 41 (2023) 101332.
  • S.Z. Gheshlaghi, A. Ebrahimi, Z. Faghih, Z. Faghih, A. Shahraki, L. Emami, Azole-methyl-3-(4-phenoxyphenyl) quinazolin-4(3H) ones, novel quinazoline-azole hybrid scaffolds, as new potent anticancer agents: Design, synthesis, biological evaluation, molecular dynamic simulation and theoretical approach, Tetrahedron, 147 (2023) 133650.
  • B. Türkmenoğlu, Investigation of novel compounds via in silico approaches of EGFR inhibitors as anticancer agents, J. Indian Chem. Soc., 99 (2022) 100601.
  • P. Jia, J. Pei, G. Wang, X. Pan, Y. Zhu, Y. Wu, L. Ouyang, The roles of computer-aided drug synthesis in drug development, Green Synth. Catal., 3 (2022) 11–24.
  • S. Kecel-Gunduz, Y. Budama-Kilinc, B. Gok, B. Bicak, G. Akman, B. Arvas, F. Aydogan, C. Yolacan, Computer-aided anticancer drug design: In vitro and in silico studies of new iminocoumarin derivative, J. Mol. Struct., 1239 (2021) 130539.
  • I.H. Eissa, R.G. Yousef, M.A. Asmaey, H. Elkady, D.Z. Husein, A.A. Alsfouk, I.M. Ibrahim, M.A. Elkady, E.B. Elkaeed, A.M. Metwaly, Computer-assisted drug discovery (CADD) of an anti-cancer derivative of the theobromine alkaloid inhibiting VEGFR-2, Saudi Pharm. J., 31 (2023) 101852.
  • C. Mottini, F. Napolitano, Z. Li, X. Gao, L. Cardone, Computer-aided drug repurposing for cancer therapy: Approaches and opportunities to challenge anticancer targets, Semin Cancer Biol., 68 (2021) 59–74.
  • I.H. Eissa, R.G. Yousef, M. Sami, E.B. Elkaeed, B.A. Alsfouk, I.M. Ibrahim, D.Z. Husein, H. Elkady, A.M. Metwaly, Exploring the anticancer properties of a new nicotinamide analogue: Investigations into in silico analysis, antiproliferative effects, selectivity, VEGFR-2 inhibition, apoptosis induction, and migration suppression, Pathol. Res. Pract., 252 (2023) 154924.
  • Ç. Karabacak Atay, Ö. Dilek, T. Tilki, B. Dede, A novel imidazole-based azo molecule: synthesis, characterization, quantum chemical calculations, molecular docking, molecular dynamics simulations and ADMET properties, J. Mol. Model, 29 (2023) 226.
  • Ö. Dilek, B. Dede, Ç. Karabacak Atay, T. Tilki, Promising agent for the efficient extraction of Co(II) ions from aqueous medium and its metal complexes: Synthesis, theoretical calculations and solvent extraction, Polyhedron, 250 (2024) 116843.
  • Frisch, M. J., G. W., Trucks, H. B., Schlegel, G. E., Scuseria, M. A., Robb, J. R., Cheeseman, G., Scalmani, V., Barone, G. A., Petersson, H., Nakatsuji, X., Li, M., Caricato, A., Marenich, J., Bloino, B. G., Janesko, R., Gomperts, B., Mennucci, H. P., Hratchian, J. V., Ortiz, A. F I., D. J. F. 2016. Gaussian 09, Revision E.01. Gaussian, Inc.
  • O. Trott, A.J. Olson, AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, J. Comput. Chem., 31 (2010) 455–461.
  • H.M. Berman, The Protein Data Bank, Nucleic Acids Res., 28 (2000) 235–242.
  • B. Webb, A. Sali, Comparative Protein Structure Modeling Using MODELLER, Curr. Protoc. Bioinformatics, 54 (2016) 5.6.1-5.6.37.
  • BIOVIA (2021) Discovery Studio Visualizer, version 21.1.0.20298. Dassault Systèmes, San Diego, CA.
  • E.F. Pettersen, T.D. Goddard, C.C. Huang, G.S. Couch, D.M. Greenblatt, E.C. Meng, T.E. Ferrin, UCSF Chimera—A visualization system for exploratory research and analysis, J. Comput. Chem., 25 (2004) 1605–1612.
  • E. Krieger, G. Vriend, YASARA View—molecular graphics for all devices—from smartphones to workstations, Bioinformatics, 30 (2014) 2981–2982.
  • E. Krieger, R.L. Dunbrack, R.W.W. Hooft, B. Krieger, Assignment of Protonation States in Proteins and Ligands: Combining pKa Prediction with Hydrogen Bonding Network Optimization, in: 2012: pp. 405–421.
  • E. Krieger, J.E. Nielsen, C.A.E.M. Spronk, G. Vriend, Fast empirical pKa prediction by Ewald summation, J. Mol. Graph. Model, 25 (2006) 481–486.
  • J.A. Maier, C. Martinez, K. Kasavajhala, L. Wickstrom, K.E. Hauser, C. Simmerling, ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB, J. Chem. Theory Comput., 11 (2015) 3696–3713.
  • J. Wang, R.M. Wolf, J.W. Caldwell, P.A. Kollman, D.A. Case, Development and testing of a general amber force field, J. Comput. Chem., 25 (2004) 1157–1174.
  • A. Jakalian, D.B. Jack, C.I. Bayly, Fast, efficient generation of high‐quality atomic charges. AM1‐BCC model: II. Parameterization and validation, J. Comput. Chem., 23 (2002) 1623–1641.
  • V. Hornak, R. Abel, A. Okur, B. Strockbine, A. Roitberg, C. Simmerling, Comparison of multiple Amber force fields and development of improved protein backbone parameters, Proteins: Structure, Function, and Bioinformatics 65 (2006) 712–725.
  • U. Essmann, L. Perera, M.L. Berkowitz, T. Darden, H. Lee, L.G. Pedersen, A smooth particle mesh Ewald method, J. Chem. Phys., 103 (1995) 8577–8593.
  • E. Krieger, G. Vriend, New ways to boost molecular dynamics simulations, J. Comput. Chem., 36 (2015) 996–1007.
There are 29 citations in total.

Details

Primary Language English
Subjects Biomolecular Modelling and Design, Cheminformatics and Quantitative Structure-Activity Relationships, Molecular Medicine
Journal Section Research Article
Authors

Ömer Dilek 0000-0003-1409-782X

Bülent Dede 0000-0003-1416-7373

Çiğdem Karabacak Atay 0000-0001-7226-9971

Tahir Tilki 0000-0002-1040-2375

Publication Date October 11, 2024
Submission Date January 25, 2024
Acceptance Date July 26, 2024
Published in Issue Year 2024 Volume: 52 Issue: 4

Cite

APA Dilek, Ö., Dede, B., Karabacak Atay, Ç., Tilki, T. (2024). Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective. Hacettepe Journal of Biology and Chemistry, 52(4), 261-271. https://doi.org/10.15671/hjbc.1425787
AMA Dilek Ö, Dede B, Karabacak Atay Ç, Tilki T. Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective. HJBC. October 2024;52(4):261-271. doi:10.15671/hjbc.1425787
Chicago Dilek, Ömer, Bülent Dede, Çiğdem Karabacak Atay, and Tahir Tilki. “Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective”. Hacettepe Journal of Biology and Chemistry 52, no. 4 (October 2024): 261-71. https://doi.org/10.15671/hjbc.1425787.
EndNote Dilek Ö, Dede B, Karabacak Atay Ç, Tilki T (October 1, 2024) Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective. Hacettepe Journal of Biology and Chemistry 52 4 261–271.
IEEE Ö. Dilek, B. Dede, Ç. Karabacak Atay, and T. Tilki, “Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective”, HJBC, vol. 52, no. 4, pp. 261–271, 2024, doi: 10.15671/hjbc.1425787.
ISNAD Dilek, Ömer et al. “Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective”. Hacettepe Journal of Biology and Chemistry 52/4 (October 2024), 261-271. https://doi.org/10.15671/hjbc.1425787.
JAMA Dilek Ö, Dede B, Karabacak Atay Ç, Tilki T. Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective. HJBC. 2024;52:261–271.
MLA Dilek, Ömer et al. “Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective”. Hacettepe Journal of Biology and Chemistry, vol. 52, no. 4, 2024, pp. 261-7, doi:10.15671/hjbc.1425787.
Vancouver Dilek Ö, Dede B, Karabacak Atay Ç, Tilki T. Molecular Insights into the Potential Anticancer Property of a Diimine-Diazo Molecule: A Molecular Docking and Molecular Dynamics Simulations Perspective. HJBC. 2024;52(4):261-7.

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