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  2. Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies

Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies

  • RSC Adv. 2023 Jan 25;13(6):3438-3447. doi: 10.1039/d2ra07537g.
Muhammad Ikhlas Abdjan 1 2 Nanik Siti Aminah 2 3 Alfinda Novi Kristanti 2 3 Imam Siswanto 1 4 Baso Ilham 2 Andika Pramudya Wardana 1 2 Yoshiaki Takaya 5
Affiliations

Affiliations

  • 1 Ph.D. Student of Mathematics and Natural Sciences, Faculty of Science and Technology, Universitas Airlangga Komplek Kampus C UNAIR, Jl. Mulyorejo 60115 Surabaya Indonesia.
  • 2 Department of Chemistry, Faculty of Science and Technology, Universitas Airlangga Surabaya 60115 Indonesia nanik-s-a@fst.unair.ac.id.
  • 3 Biotechnology of Tropical Medicinal Plants Research Group, Universitas Airlangga Surabaya 60115 Indonesia.
  • 4 Bioinformatic Laboratory, UCoE Research Center for Bio-Molecule Engineering Universitas Airlangga Surabaya Indonesia.
  • 5 Faculty of Pharmacy, Meijo University 150 Yagotoyama, Tempaku Nagoya 468-8503 Japan.
Abstract

α-glucosidase is an Enzyme that catalyzes the release of α-glucose molecules through hydrolysis reactions. Regulation of this Enzyme can increase sugar levels in type-2 diabetes mellitus (DM) patients. Pyranocoumarin derivatives have been identified as α-glucosidase inhibitors. Through an in silico approach, this work studied the inhibition of three pyranocoumarin compounds against the α-glucosidase at the molecular level. Molecular docking and molecular dynamics simulation were performed to understand the dynamics behavior of pyranocoumarin derivatives against α-glucosidase. The prediction of free binding energy (ΔG bind) using the Quantum Mechanics/Molecular Mechanics-Generalized Born (QM/MM-GBSA) approach for each system had the following results, PC1-α-Glu: -13.97 kcal mol-1, PC2-α-Glu: -3.69 kcal mol-1, and PC3-α-Glu: -13.68 kcal mol-1. The interaction energy of each system shows that the grid score, ΔG bind, and ΔG exp values had a similar correlation, that was PC1-α-Glu > PC3-α-Glu > PC2-α-Glu. Additionally, the decomposition energy analysis (ΔG residue bind) was carried out to find out the contribution of the key binding residue. The results showed that there were 15 key binding residues responsible for stabilizing pyranocumarin binding with criteria of ΔG residue bind < -1.00 kcal mol-1. The evaluation presented in this work could provide information on the molecular level about the inhibitory efficiency of pyranocoumarin derivatives against a-glucosidase Enzyme based on computational studies.

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