skip to main content

Molecular Docking of Gallic Acid and Its Derivatives as the Potential nNOS Inhibitors

1Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

2Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

3Faculty of Psychology, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia

Received: 24 Oct 2021; Revised: 27 Mar 2022; Accepted: 17 May 2022; Published: 31 Jul 2022.
Open Access Copyright 2022 Jurnal Kimia Sains dan Aplikasi under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Cover Image
Abstract

The global prevalence of anxiety and depression rates have increased by 25% due to the impact of the COVID-19 pandemic. Depression can occur due to an increase in NO produced by the nNOS enzyme. Gallic acid and its derivatives can be obtained from nature and have various biological activities. This study aimed to determine the potential of gallic acid and its derivatives as nNOS inhibitors using the molecular docking method with parameters of binding energy values, RMSD values, and specific binding to amino acid residues. The results showed that gallic acid, 4-O-methyl gallic acid, and epigallocatechin gallate had bond energies of −1.87; −2.36; and −0.12 kcal/mol, respectively. Compared to the standard ligand, which had binding energy of −2.84 kcal/mol, gallic acid 4-O-(6-galloyl glucoside) had binding energy of −4.12 kcal/mol. Based on these results, gallic acid 4-O-(6-galloyl glucoside) can potentially inhibit nNOS.

Fulltext View|Download
Keywords: Gallic acid; depression; nNOS; molecular docking
Funding: Kementerian Pendidikan dan Kebudayaan

Article Metrics:

  1. Sonia Mukhtar, Mental health and psychosocial aspects of coronavirus outbreak in Pakistan: psychological intervention for public mental health crisis, Asian journal of psychiatry, 51, 102069, (2020), 1-2 https://doi.org/10.1016/j.ajp.2020.102069
  2. World Health Organization, COVID-19 pandemic triggers 25% increase in prevalence of anxiety and depression worldwide, 2022
  3. Annelise A. Madison, M. Rosie Shrout, Megan E. Renna, Janice K. Kiecolt-Glaser, Psychological and behavioral predictors of vaccine efficacy: Considerations for COVID-19, Perspectives on Psychological Science, 16, 2, (2021), 191-203 https://doi.org/10.1177/1745691621989243
  4. Milica Vukmanovic-Stejic, Emma S. Chambers, Mayte Suárez-Fariñas, Daisy Sandhu, Judilyn Fuentes-Duculan, Neil Patel, Elaine Agius, Katie E. Lacy, Carolin T. Turner, Anis Larbi, Enhancement of cutaneous immunity during aging by blocking p38 mitogen-activated protein (MAP) kinase–induced inflammation, Journal of Allergy and Clinical Immunology, 142, 3, (2018), 844-856 https://doi.org/10.1016/j.jaci.2017.10.032
  5. Lihua Yao, Jianxin Chen, Hexiang Chen, Dan Xiang, Can Yang, Ling Xiao, Wanhong Liu, Huiling Wang, Gaohua Wang, Fan Zhu, Hypothalamic gastrin-releasing peptide receptor mediates an antidepressant-like effect in a mouse model of stress, American Journal of Translational Research, 8, 7, (2016), 3097–3105
  6. Thomas W. Meeks, Julie L. Wetherell, Michael R. Irwin, Laura S. Redwine, Dilip V. Jeste, Complementary and alternative treatments for late-life depression, anxiety, and sleep disturbance: a review of randomized controlled trials, The Journal of Clinical Psychiatry, 68, 10, (2007), 1461-1471 https://doi.org/10.4088/jcp.v68n1001
  7. Chun-Yu Yin, Shu-Ying Huang, Ling Gao, Yu-Hui Lin, Lei Chang, Hai-Yin Wu, Dong-Ya Zhu, Chun-Xia Luo, Neuronal nitric oxide synthase in nucleus accumbens specifically mediates susceptibility to social defeat stress through cyclin-dependent kinase 5, Journal of Neuroscience, 41, 11, (2021), 2523-2539 https://doi.org/10.1523/JNEUROSCI.0422-20.2021
  8. Feng Liu, Xueyuan Yang, Jun Ma, Yuling Yang, Chunfeng Xie, Muhetaer Tuerhong, Da-Qing Jin, Jing Xu, Dongho Lee, Yasushi Ohizumi, Nitric oxide inhibitory daphnane diterpenoids as potential anti-neuroinflammatory agents for AD from the twigs of Trigonostemon thyrsoideus, Bioorganic Chemistry, 75, (2017), 149-156 https://doi.org/10.1016/j.bioorg.2017.09.007
  9. Palrasu Manikandan, Siddavaram Nagini, Cytochrome P450 structure, function and clinical significance: a review, Current Drug Targets, 19, 1, (2018), 38-54 http://dx.doi.org/10.2174/1389450118666170125144557
  10. Özgür Devrim Can, Nazlı Turan, Ümide Demir Özkay, Yusuf Öztürk, Antidepressant-like effect of gallic acid in mice: Dual involvement of serotonergic and catecholaminergic systems, Life Sciences, 190, (2017), 110-117 https://doi.org/10.1016/j.lfs.2017.09.023
  11. Seyed Fazel Nabavi, Solomon Habtemariam, Arianna Di Lorenzo, Antoni Sureda, Sedigheh Khanjani, Seyed Mohammad Nabavi, Maria Daglia, Post-stroke depression modulation and in vivo antioxidant activity of gallic acid and its synthetic derivatives in a murine model system, Nutrients, 8, 5, (2016), 1-13 https://doi.org/10.3390/nu8050248
  12. Bombi Lee, Insop Shim, Hyejung Lee, Dae-Hyun Hahm, Effects of epigallocatechin gallate on behavioral and cognitive impairments, hypothalamic–pituitary–adrenal Axis dysfunction, and alternations in hippocampal BDNF expression under single prolonged stress, Journal of Medicinal Food, 21, 10, (2018), 979-989 https://doi.org/10.1089/jmf.2017.4161
  13. Kwan Hee Park, Kyu Hyeong Yoon, Jun Yin, Thi Tam Le, Hye Sin Ahn, Seong Hye Yoon, Min Won Lee, Antioxidative and anti-inflammatory activities of galloyl derivatives and antidiabetic activities of Acer ginnala, Evidence-Based Complementary and Alternative Medicine, 2017, 6945912, (2017), 1-8 https://doi.org/10.1155/2017/6945912
  14. Oleg Trott, Arthur J. Olson, AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading, Journal of Computational Chemistry, 31, 2, (2010), 455-461 https://doi.org/10.1002/jcc.21334
  15. Garrett M. Morris, Ruth Huey, William Lindstrom, Michel F. Sanner, Richard K. Belew, David S. Goodsell, Arthur J. Olson, AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility, Journal of Computational Chemistry, 30, 16, (2009), 2785-2791 https://doi.org/10.1002/jcc.21256
  16. Eric F. Pettersen, Thomas D. Goddard, Conrad C. Huang, Gregory S. Couch, Daniel M. Greenblatt, Elaine C. Meng, Thomas E. Ferrin, UCSF Chimera—a visualization system for exploratory research and analysis, Journal of Computational Chemistry, 25, 13, (2004), 1605-1612 https://doi.org/10.1002/jcc.20084
  17. M.J. Frisch, G.W. Trucks, H.B. Schlegel, G.E. Scuseria, M.A. Robb, J.R. Cheeseman, G. Scalmani, V. Barone, G.A. Petersson, Nakatsuji, Li H., X., , M. Caricato, A. Marenich, J. Bloino, B.G. Janesko, R. Gomperts, B. Mennucci, H.P. Hratchian, J. V. Ortiz, A.F. Izmaylov, J.L. Sonnenberg, D. Williams-Young, F. Ding, F. Lipparini, F. Egidi, J. Goings, B. Peng, A. Petrone, T. Henderson, D. Ranasinghe, V.G. Zakrzewski, J. Gao, N. Rega, G. Zheng, W. Liang, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, K. Throssell, J.A. Montgomery, Jr., , J.E. Peralta, F. Ogliaro, M. Bearpark, J.J. Heyd, E. Brothers, K.N. Kudin, V.N. Staroverov, T. Keith, R. Kobayashi, J. Normand, K. Raghavachari, A. Rendell, J.C. Burant, S.S. Iyengar, J. Tomasi, M. Cossi, J.M. Millam, M. Klene, C. Adamo, R. Cammi, J.W. Ochterski, R.L. Martin, K. Morokuma, O. Farkas, J.B. Foresman, D.J Fox, GaussView 5.0, Gaussian, Inc., Wallingford, (2008)
  18. M.J. Frisch, G.W. Trucks, H.B. Schlegel, G.E. Scuseria, M.A. Robb, J.R. Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G.A. Petersson, Gaussian09, Revision, D. 01, Programme, Gaussian Inc, (2013)
  19. Noel M. O’Boyle, Michael Banck, Craig A. James, Chris Morley, Tim Vandermeersch, Geoffrey R. Hutchison, Open Babel: An open chemical toolbox, Journal of Cheminformatics, 3, 1, (2011), 1-14 https://doi.org/10.1186/1758-2946-3-33
  20. BIOVIA Discovery Studio, in: Discovery Studio Visualizer, Dassault Systèmes, San Diego, 2019
  21. David C. Young, Computational Chemistry: A practical guide for applying techniques to real-world problems, New York, 2001
  22. Jan D. Bos, Marcus M.H.M Meinardi, The 500 Dalton rule for the skin penetration of chemical compounds and drugs, Experimental Dermatology: Viewpoint, 9, 3, (2000), 165-169 https://doi.org/10.1034/j.1600-0625.2000.009003165.x
  23. Fauzan Zein Muttaqin, Halim Ismail, N.M. Hubbi, Studi molecular docking, molecular dynamic, dan prediksi toksisitas senyawa turunan alkaloid naftiridin sebagai inhibitor protein kasein kinase 2-α pada kanker leukemia, Journal of Pharmacoscript, 2, 2, (2019)
  24. Christopher A. Lipinski, Lead-and drug-like compounds: the rule-of-five revolution, Drug Discovery Today: Technologies, 1, 4, (2004), 337-341 https://doi.org/10.1016/j.ddtec.2004.11.007
  25. Rizky Arcinthya Rachmania, Supandi Supandi, Oetari Anggun Larasati, Analisis In-Silico Senyawa Diterpenoid Lakton Herba Sambiloto (Andrographis Paniculata Nees) Pada Reseptor Alpha-Glucosidase Sebagai Antidiabetes Tipe II, PHARMACY: Jurnal Farmasi Indonesia (Pharmaceutical Journal of Indonesia), 12, 2, (2015), 210-222
  26. Y. Gao, C. Gesenberg, W. Zheng, Oral formulations for preclinical studies: principle, design, and development considerations, in: Developing Solid Oral Dosage Forms (Second Edition), Elsevier, 2017, https://doi.org/10.1016/B978-0-12-802447-8.00017-0
  27. Mohammed Afroz Bakht, M. Shahar Yar, Sami Gaber Abdel-Hamid, Saleh I. Al Qasoumi, Abdul Samad, Molecular properties prediction, synthesis and anti-microbial activity of some newer oxadiazole derivatives, European Journal of Medicinal Chemistry, 45, 12, (2010), 5862-5869 https://doi.org/10.1016/j.ejmech.2010.07.069
  28. Jeremy D. Scheff, Richard R. Almon, Debra C. DuBois, William J. Jusko, Ioannis P. Androulakis, Assessment of pharmacologic area under the curve when baselines are variable, Pharmaceutical Research, 28, 5, (2011), 1081-1089 https://doi.org/10.1007/s11095-010-0363-8
  29. Hongxing Wang, Qigui Li, Sean Reyes, Jing Zhang, Lisa Xie, Victor Melendez, Mark Hickman, Michael P. Kozar, Formulation and particle size reduction improve bioavailability of poorly water-soluble compounds with antimalarial activity, Malaria Research and Treatment, 2013, 769234, (2013), 1-10 https://doi.org/10.1155/2013/769234
  30. Jason C. Cole, Christopher W. Murray, J. Willem M. Nissink, Richard D. Taylor, Robin Taylor, Comparing protein–ligand docking programs is difficult, Proteins: Structure, Function, and Bioinformatics, 60, 3, (2005), 325-332 https://doi.org/10.1002/prot.20497
  31. Fabio Arias, Francisco Franco-Montalban, Miguel Romero, M. Dora Carrión, M. Encarnación Camacho, Synthesis, bioevaluation and docking studies of new imidamide derivatives as nitric oxide synthase inhibitors, Bioorganic & Medicinal Chemistry, 44, 116294, (2021), 1-11 https://doi.org/10.1016/j.bmc.2021.116294

Last update:

  1. Molecular Docking of Active Compounds of Syzygium myrtifolium Walp. Leaves on Leukotriene A4 Hydrolase Receptors as Colorectal Anticancer

    Daini Amanah, Rosario Trijuliamos Manalu, Munawarohthus Sholikha, Vilya Syafriana, Yasman Yasman. Jurnal Kimia Sains dan Aplikasi, 26 (5), 2023. doi: 10.14710/jksa.26.5.194-203

Last update: 2024-05-14 03:35:01

No citation recorded.