Exploring the antidiabetic potential of compounds isolated from Anacardium occidentale using computational aproach: ligand-based virtual screening.

In Silico Pharmacology Pub Date : 2021-04-03 eCollection Date: 2021-01-01 DOI:10.1007/s40203-021-00084-z
Victor Okoliko Ukwenya, Sunday Aderemi Adelakun, Olusola Olalekan Elekofehinti
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引用次数: 5

Abstract

Diabetes mellitus is becoming an important public health challenge worldwide and especially in developing nations. About 8.8 percent of the world adult population has been reported to have diabetes. Glutamine-fructose-6-phosphate amidotransferase 1 (GFAT1) catalyses the first committed step in the pathway for biosynthesis of hexosamines in mammals, and its inhibition has been thought to prevent hyperglycaemia. Dipeptidyl peptidase-4 (DPP-4), on the other hand, degrades hormone glucagon-like peptide-1 (GLP-1), an enzyme that plays a major role in the enhancement of glucose-dependent insulin secretion, making these two proteins candidate targets for diabetes. To find potential inhibitors of DPP-4 and GFAT1 from Anacardium occidentale using a computational approach, glide XP (extra precision) docking, Induced Fit Docking (IFD), Binding free energy of the compounds were determined against prepared crystal structure of DPP-4 and GFAT1 using the Maestro molecular interface of Schrödinger suites. The Lipinski's rule of five (RO5) and ADME properties of the compounds were assessed. Predictive models for both protein targets were built using AutoQSAR. This study identified 8 hit compounds. Most of these compounds passed the RO5 and were within the recommended range for defined ADME parameters. In addition, the predicted pIC50 for the hit compounds were promising. The results obtained from the present study can be used to design an antidiabetic drug.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-021-00084-z.

利用计算方法:基于配体的虚拟筛选,探索从西洋Anacardium occidentale中分离的化合物的抗糖尿病潜力。
糖尿病正在成为世界范围内,特别是发展中国家的一个重要的公共卫生挑战。据报道,世界上大约8.8%的成年人患有糖尿病。谷氨酰胺-果糖-6-磷酸氨基转移酶1 (GFAT1)在哺乳动物中催化己糖胺生物合成途径的第一步,其抑制被认为可以预防高血糖。另一方面,二肽基肽酶-4 (DPP-4)可降解胰高血糖素样肽-1 (GLP-1), GLP-1是一种在增强葡萄糖依赖性胰岛素分泌中起主要作用的酶,使这两种蛋白成为糖尿病的候选靶点。为了寻找潜在的DPP-4和GFAT1抑制剂,采用计算方法,利用Schrödinger suite的Maestro分子界面,根据制备的DPP-4和GFAT1晶体结构,测定了化合物的滑翔XP (extra precision)对接、诱导Fit对接(Induced Fit docking, IFD)、结合自由能。评价了化合物的利平斯基五定律(RO5)和ADME性能。利用AutoQSAR建立了两种蛋白靶点的预测模型。该研究确定了8种受影响的化合物。这些化合物大多数通过了RO5,并且在定义的ADME参数的推荐范围内。此外,被击中化合物的pIC50预测值也很有希望。本研究的结果可用于设计抗糖尿病药物。补充信息:在线版本包含补充资料,提供地址为10.1007/s40203-021-00084-z。
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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