Curated phytochemicals of Annona muricata modulate proteins linked to type II diabetes mellitus: Molecular docking studies, ADMET and DFT calculation

Q1 Medicine
Benjamin Olusola Omiyale , Babatunji Emmanuel Oyinloye , Basiru Olaitan Ajiboye , Chukwudi Sunday Ubah
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Abstract

One of the medicinal herbs utilized in treating diabetes traditionally is Annona muricata. This work investigates the effect of phytochemicals from A. muricata on the therapeutically important protein targets associated with type II diabetes mellitus (T2DM) using a computational approach. Compounds (Phytochemicals) previously identified in A. muricata were docked against proteins of interest to find therapeutic hit compounds. The stability of the ligand-protein complexes was examined after selecting proteins that bind well with the discovered hits, and ADMET properties of the ligands were also predicted to determine their toxicity and drug-likeness. In addition to studying the compounds' softness, hardness, electron affinity, and electrostatic potential, the Schrödinger material science Jaguar fast engine was used to study their frontier molecular orbital (FMO). The targets aldose reductase (ALR), 11beta-hydroxysteroid dehydrogenase type 1 (11-HSD1), and diacylglycerol O-acyltransferase 1 (DGAT1) exhibited the highest binding affinities from the early screening of compounds against fifteen (15) proteins linked with T2DM. While eight (8) phenolic compounds of the plants had comparatively high docking scores with 11β-HSD1 and ALR, seven (7) acetogenins had good binding affinities with DGAT1. These top-scoring compounds exhibited considerable ADMET profiles. Additionally, the phenolic compounds that are considered as hits adhered to the Lipinski rule of 5 and can be thought of as potential drug candidates. Genistein and kaempferol are the most reactive ligands in terms of quantum mechanics. The information from this study could be used to create an alternative anti-diabetic drug with better efficacy.

葵花中的植物化学物质可调节与 II 型糖尿病有关的蛋白质:分子对接研究、ADMET 和 DFT 计算
Annona muricata 是传统上用于治疗糖尿病的草药之一。本研究采用计算方法研究了艳紫草中的植物化学物质对与 II 型糖尿病(T2DM)相关的重要治疗蛋白靶点的影响。研究人员将之前在鼠尾草中鉴定出的化合物(植物化学物质)与感兴趣的蛋白质进行对接,以找到具有治疗作用的化合物。在筛选出与已发现的热门化合物结合良好的蛋白质后,对配体-蛋白质复合物的稳定性进行了研究,同时还预测了配体的 ADMET 特性,以确定其毒性和药物亲和性。除了研究化合物的软度、硬度、电子亲和力和静电位之外,还利用薛定谔材料科学捷豹快速引擎研究了它们的前沿分子轨道(FMO)。在早期筛选的化合物中,醛糖还原酶(ALR)、11beta-羟基类固醇脱氢酶 1 型(11-HSD1)和二酰甘油 O-酰基转移酶 1(DGAT1)与 15 种与 T2DM 相关的蛋白质的结合亲和力最高。有八(8)种植物的酚类化合物与 11β-HSD1 和 ALR 的对接得分相对较高,而七(7)种苷元与 DGAT1 的结合亲和力较好。这些得分最高的化合物表现出相当好的 ADMET 特征。此外,被认为是 "命中 "的酚类化合物符合利平斯基规则(Lipinski rule of 5),可被视为潜在的候选药物。就量子力学而言,染料木素和山柰酚是反应性最强的配体。这项研究提供的信息可用于开发疗效更好的抗糖尿病药物。
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
Informatics in Medicine Unlocked
Informatics in Medicine Unlocked Medicine-Health Informatics
CiteScore
9.50
自引率
0.00%
发文量
282
审稿时长
39 days
期刊介绍: Informatics in Medicine Unlocked (IMU) is an international gold open access journal covering a broad spectrum of topics within medical informatics, including (but not limited to) papers focusing on imaging, pathology, teledermatology, public health, ophthalmological, nursing and translational medicine informatics. The full papers that are published in the journal are accessible to all who visit the website.
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