Neomangiferin, a Naturally Occurring Mangiferin Congener, Inhibits Sodium-Glucose Co-transporter-2: An In silico Approach.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2024-01-17 eCollection Date: 2024-01-01 DOI:10.1177/11779322231223851
Ayobami J Olusola, Samson O Famuyiwa, Kolade O Faloye, Oluwaseun E Olatunji, Uduak I Olayemi, Abiodun A Adeyemi, John O Balogun, Seun B Ogundele, Blessing O Babamuyiwa, Rajesh B Patil
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Abstract

Type 2 diabetes is a major health concern contributing to most of diabetic cases worldwide. Mangiferin and its congeners are known for their diverse pharmacological properties. This study sought to investigate the inhibitory property of naturally occurring mangiferin congeners on sodium-glucose co-transporter 2 protein (SGLT-2) using comprehensive computational methods. The naturally occurring mangiferin congeners were subjected to molecular docking, molecular dynamics (MDs) simulation (100 ns), molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) binding free energy, density functional theory calculations (B3LYP 6-31G basis set), and ADMET approaches to identify potential SGLT-2 inhibitor. The molecular docking studies revealed neomangiferin (-9.0 kcal/mol) as the hit molecule compared with dapagliflozin (-8.3 kcal/mol). Root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF) plots from the MD simulations established that neomangiferin stabilizes SGLT-2 better than the dapagliflozin, a standard drug. The MM-PBSA binding free energy calculations showed that neomangiferin (-26.05 kcal/mol) elicited better binding affinity than dapagliflozin (-17.42 kcal/mol). The electronic studies showed that neomangiferin (3.48 eV) elicited high electrophilicity index compared with mangiferin (3.31 eV) and dapagliflozin (2.11 eV). Also, the ADMET properties showed that the hit molecule is safe when administered to diabetic subjects. The current in silico studies suggest that neomangiferin could emerge as a promising lead molecule as a SGLT-2 inhibitor.

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新芒果苷--一种天然存在的芒果苷同系物--抑制钠-葡萄糖共转运体-2:一种硅学方法。
2 型糖尿病是引起全球大多数糖尿病病例的主要健康问题。芒果苷及其同系物具有多种药理特性。本研究试图利用综合计算方法研究天然芒果苷同系物对钠-葡萄糖协同转运体 2 蛋白(SGLT-2)的抑制特性。对天然芒果苷同系物进行了分子对接、分子动力学(MDs)模拟(100 ns)、分子力学泊松-玻尔兹曼表面积(MM-PBSA)结合自由能、密度泛函理论计算(B3LYP 6-31G 基集)和 ADMET 方法,以确定潜在的 SGLT-2 抑制剂。分子对接研究发现,与达帕利洛嗪(-8.3 kcal/mol)相比,新莽草素(-9.0 kcal/mol)是命中分子。MD 模拟的均方根偏差(RMSD)和均方根波动(RMSF)图表明,新芒果苷比标准药物达帕格列净更能稳定 SGLT-2。MM-PBSA 结合自由能计算显示,新莽草素的结合亲和力(-26.05 kcal/mol)优于达帕格列净(-17.42 kcal/mol)。电子研究表明,与芒果苷(3.31 eV)和达帕格列嗪(2.11 eV)相比,新芒果苷(3.48 eV)具有较高的亲电指数。此外,ADMET 特性表明,该分子在糖尿病患者中用药是安全的。目前的硅学研究表明,新芒果苷可能成为一种很有前景的 SGLT-2 抑制剂先导分子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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