Molecular Docking of Mangostin and Sinensetin Derivatives on SUR1-Pancreatic KATP Channel Target as Antidiabetic
Downloads
Background: Diabetes Mellitus (DM) is a complex chronic disease characterized by increased blood glucose. The incidence of this disease is rising, especially type 2 diabetes which is caused by insulin resistance in the body. SUR1-Pancreatic KATP Channel is a receptor as an antidiabetic target because its inhibition process can increase insulin production so that it can reduce blood glucose in people with type 2 diabetes. Objective: This study aims to identify the in-silico activity of the SUR1-Pancreatic KATP Channel macromolecules. Methods: Identification of macromolecular binding sites using Protein Plus software, then carried out molecular docking using AutoDock software, where the formed molecular interactions are further identified using the BIOVIA Discovery Studio software. Results: After determining the macromolecular binding site, the RMSD value was 1.253, allowing for further molecular docking. Molecular docking showed that the Ligands of mangostin (α, β, γ-mangostin) and sinensetin derivatives had a good affinity, namely α-mangostin -6,31 kcal/mol; β-mangostin -5.78 kcal/mol; γ-mangostin -6.17 kcal/mol and sinensetin -4.75 kcal/mol. Conclusion: The affinity sequence in the docking process for the SUR1 KATP channel macromolecules is α-mangostin > γ-mangostin > β-mangostin > sinensetin. The highest affinity for the docking process on the macromolecule SUR1 KATP channel was α-mangostin with a value of ΔG -6.31 kcal/mol Ki 23.65 μM.
Ding, D., Wang, M., Wu, J. X., Kang, Y. & Chen, L. (2019). The Structural Basis for the Binding of Repaglinide to the Pancreatic KATP Channel. Cell Reports; 27; 1848-1857.
Geldenhuys, W. J., Gaasch, K. E., Watson, M., Allen, D. D. & Schyf, C. J. V. (2006). Optimizing the Use of Open-source Software Applications in Drug Discovery. Drug Discovery Today; 11; 127-132.
Husen, S. A., Winarni, D., Salamun., Ansori, A. N. M., Susilo, R. J. K. & Hayaza, S. (2019). Hepatoprotective Effect of Gamma-mangostin for Amelioration of Impaired Liver Structure and Function in Streptozotocin-induced Diabetic Mice. IOP Conference Series Earth and Environmental Science; 217; 012031.
Ibrahim, S. R. M., Mohamed, G. A., Khayat, M. T., Ahmed, S., Haded, H. A. & Alshali, K. Z. (2019). Mangostanaxanthone VIII, A New Xanthone from Garcinia mangostana pericarps, É‘-amylase Inhibitory Activity, and Molecular Docking Studies. Brazillian Journal of Pharmacognosy; 29; 206-212.
Lee, D., Kim, Y. M., Jung, K., Chin, Y. W. & Kang, K. S. (2018). Alpha-mangostin Improves Insulin Secretion and Protects INS-1 Cells from Streptozotocin-Induced Damage. International Journal of Molecular Sciences; 19; 1484.
Martin, G. M., Sung, M. W., Yang, Z., Innes, L.M., Kandasamy, B., David L. L., Yoshika, C. & Shyng, S. L. (2017). Mechanism of Pharmacochaperoning in a Mammalian KATP Channel Revealed by Cryo-EM. eLife Sciences Publications; 8; 1-26.
Miller, R. L., Thompson, A. A., Trapella, C., Guerrini, R., Malfacini, D., Patel, N. & Stevens, R. C. (2015). The Importance of Ligand-Receptor Conformational Pairs in Stabilization: Spotlight on the N/OFQ G Protein-Coupled Receptor. Structure; 23; 2291-2299.
Mohamed, E. A. H., Siddiqui, M. J. A., Ang, L. F., Sadikun, A., Chan, S. H., Tan, S. C., Asmawi, M. Z. & Yam, M. F. (2012). Potent É‘-Glucosidase and É‘-Amylase Inhibitory Activities of Standardized 60% Ethanolic Extracts and Sinensetin from Orthosiphon stamineus Benth as Anti-diabetic Mechanism. BMC Complementary and Alternative Medicine; 12; 1-7.
Muchtaridi, M., Dermawan, D. & Yusuf, M. (2018). Molecular Docking, 3D Structure-Based Pharmacophore Modeling, and ADME Prediction of Alpha Mangostin and its Derivatives Against Estrogen Receptor Alpha. Journal of Young Pharmacist; 10; 252-259.
Natesan, S., Subramaniam, R., Bergeron, C. & Balaz, S. (2012). Binding Affinity Prediction for Ligands and Receptors Forming Tautomers and Ionization Species: Inhibition of Mitogen-activated Protein Kinase-activated Protein Kinase 2 (MK2). Journal of Medicinal Chemistry; 55; 2035-2047.
Neshich, I., Nishimura, L., Rogerio de Moraes, F., Augusto Salim, J., Villalta- Romero, F., Borro, L. & Neshich, G. (2015). Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design. Current Protein and Peptide Science; 16; 701-717.
Norel, R., Sheinerman, F., Petrey, D. & Honig, B. (2001). Electrostatic Contributions to Protein-protein Interactions: Fast Energetic Filters for Docking and Their Physical Basis. Protein Science; 10; 2147-2161.
Siswandono. (2016). Kimia Medisinal 1 (Edisi 2). Surabaya: Airlangga University Press.
Zubair, M. S., Anam, S., Khumaidi, A., Susanto, Y., Hidayat, M. & Ridhay, A. (2016). Molecular Docking Approach to Identify Potential Anticancer Compounds from Begonia (Begonia sp). AIP Conference Proceedings; 1755; 080005-1-080005-7.
1. The copyright of this journal belongs to the Editorial Board and Journal Manager with the author's knowledge, while the moral right of the publication belong to the author.
2. The formal legal aspect of journal publication accessibility refers to the Creative Commons Attribution-Non-Commercial-Share Alike (CC BY-NC-SA), which implies that the publication can be used for non-commercial purposes in its original form.
3. Every publication (print/electronic) is open access for educational, research, and library purposes. In addition to the objectives mentioned above, the editorial board is not responsible for copyright infringement