Molecular docking analysis of flavonoid compounds from gandaria (Bouea macrophlla Griff) as potential alpha-glucosidase inhibitors
Abstract
Diabetes mellitus represents a significant metabolic disorder with elevated global prevalence, necessitating development of effective antidiabetic therapies. This study investigates flavonoid compounds from gandaria (Bouea macrophylla Griff) as potential α-glucosidase inhibitors through molecular docking analysis. Eight flavonoid compounds were evaluated against human α-glucosidase enzyme (PDB ID: 2QMJ) using AutoDock Tools version 1.5.6. The methodology achieved validation with an RMSD value of 1.98 Å, confirming computational reliability. Lipinski's Rule of Five assessment identified four compounds meeting drug-likeness criteria for analysis. Quercetin demonstrated the strongest binding affinity among tested compounds with a binding energy of -4.72 kcal/mol, compared to the native ligand N-acetylglucosamine at -5.12 kcal/mol. Interaction analysis revealed quercetin formed significant hydrogen bonds with key active site residues including Lys389, Asn393, and Asn417, indicating potential competitive inhibition mechanisms. All flavonoid compounds exhibited consistent binding patterns with Lys389 serving as a critical interaction site. These computational findings establish quercetin as the most promising flavonoid candidate for α-glucosidase inhibition, supporting its potential as a natural antidiabetic agent.
References
Bulu A, Wahyuni TD, Sutriningsih A, Program M, Ilmu S, Fakultas K, et al. Hubungan Antara Tingkat Kepatuhan Minum Obat Dengan Kadar Gula Darah pada Pasien Diabetes Melitus Tipe II. Nursing News: Jurnal Ilmiah Keperawatan. 2019;4. https://doi.org/10.33366/nn.v4i1.1501
Badan Penelitian dan Pengembangan Kesehatan. Laporan Nasional Riskesdas 2018. Lembaga Penerbit Balitbangkes. Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan; 2018.
Situmeang A, Sinaga M, Simamora H. Efektivitas Aktivitas Fisik dan Pola Makan Terhadap Kecepatan Pengendalian Kadar Gula Darah Pada Penderita DM. Jurnal Keperawatan dan Fisioterapi (JKF). 2019;2: 47–51. https://doi.org/10.35451/jkf.v2i1.259
Magliano DJ, Boyko EJ. IDF Diabetes Atlas [Internet]. 10th edition Brussels: International Diabetes Federation. 2021; 1–141. Available: https://pubmed.ncbi.nlm.nih.gov/35914061/
Hossain U, Das AK, Ghosh S, Sil PC. An overview on the role of bioactive α-glucosidase inhibitors in ameliorating diabetic complications. Food and Chemical Toxicology. 2020;145: 111738. https://doi.org/10.1016/j.fct.2020.111738
Khadayat K, Marasini BP, Gautam H, Ghaju S, Parajuli N. Evaluation of the alpha-amylase inhibitory activity of Nepalese medicinal plants used in the treatment of diabetes mellitus. Clinical Phytoscience. 2020;6. https://doi.org/10.1186/s40816-020-00179-8
Oyedemi SO, Oyedemi BO, Ijeh II, Ohanyerem PE, Coopoosamy RM, Aiyegoro OA. Alpha-Amylase Inhibition and Antioxidative Capacity of Some Antidiabetic Plants Used by the Traditional Healers in Southeastern Nigeria. Scientific World Journal. 2017;2017. https://doi.org/10.1155/2017/3592491
Van Quan N, Xuan TD, Tran HD, Thuy NTD, Trang LT, Huong CT, et al. Antioxidant, α-Amylase and α-Glucosidase Inhibitory Activities and Potential Constituents of Canarium tramdenum Bark. Molecules. 2019;24. https://doi.org/10.3390/molecules24030605
D. Yuliana N, Budijanto S, Hanny Wijaya C, Khatib A. Senyawa Inhibitor α-Glukosidase dan Antioksidan dari Kumis Kucing Dengan Pendekatan Metabolomik Berbasis FTIR. Jurnal Teknologi dan Industri Pangan. 2016;27: 17–30. https://doi.org/10.6066/jtip.2016.27.1.17
López-Camacho E, García-Godoy MJ, García-Nieto J, Nebro AJ, Aldana-Montes JF. A new multi-objective approach for molecular docking based on rmsd and binding energy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016;9702: 65–77. https://doi.org/10.1007/978-3-319-38827-4_6
Lipinski CA. Lead- and drug-like compounds: The rule-of-five revolution. Drug Discovery Today: Technologies. 2004. pp. 337–341. https://doi.org/10.1016/j.ddtec.2004.11.007
Khan AR, Lawrence AJ, Azad I, Raza S, Khan T. Molecular Docking Simulation with Special Reference to Flexible Docking Approach. JSM Chemistry,;6(1):1-5. 2018;6: 1–5. https://doi.org/10.47739/1053
Ridwan A, Astrian RT, Barlian A. Pengukuran Efek Antidiabetes Polifenol (Polyphenon 60) Berdasarkan Kadar Glukosa Darah dan Histologi Pankreas Mencit (Mus musculus L.) S.W. Jantan yang Dikondisikan Diabetes Mellitus. Jurnal Matematika & Sains. 2012;17.
Ho E, Bray TM. Antioxidants, NFκB activation, and diabetogenesis. Proceedings of the Society for Experimental Biology and Medicine. 1999;222: 205–213. https://doi.org/10.1046/j.1525-1373.1999.d01-137.x
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