Computational Drug Design Approaches for the Identification of Novel Antidiabetic Compounds from Natural Resources through Molecular Docking, ADMET, and Toxicological Studies.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Bakul Akter, Md Sohorab Uddin, Mohammad Rashedul Islam, Kutub Uddin Ahamed, Most Nazmin Aktar, Mohammed Kamrul Hossain, Ahmad Mohammad Salamatullah, Mouhammed Bourhia
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引用次数: 0

Abstract

Type 2 diabetes mellitus (T2DM) is usually depicted by relative insulin deficiency, raised blood glucose levels, and the predominant risk factor, insulin resistance. Hence, the development of insulin sensitizer drugs targeting PPAR-γ receptors has expanded enormous interest as an attractive choice for T2DM treatment. Thiazolidinediones (TZD) enhance insulin sensitivity either by directly functioning on gene transcription of the PPARγ receptor related to glucose homeostasis or by systemic sensitization of insulin and, therefore, improved hyperglycemia in a wide range of patients. However, severe complications and adverse effects of TZDs necessitate the development of an efficacious and reliable insulin sensitizer from alternative resources. On the contrary, Nature is a rich source of anticipated effective and safer medicine; more than fifty percent of drugs on the market are developed from natural products. Hence, searching for a new PPAR-γ agonist from bioactive secondary compounds of medicinal plants along with greater efficacy and safety is a recognized and consistent tactic for developing novel antidiabetic agents. Pulicaria jaubertii is a fragrant perennial aromatic plant with anti-inflammatory, antidiabetic, antimicrobial, antimalarial, and insecticidal properties. The current study was designed to use a computer-aided drug design to explore the best antidiabetic compounds from P. jaubertii. Herein, the molecular docking study of 80 investigated ligands against the PPAR-γ receptor identifies the highest docking score for five ligands ranging from -8.9 kcal/mol to 8.0 kcal/mol, which is also more significant than the standard drug pioglitazone (-7.7 kcal/mol) determined by the PyRx 8.0 virtual screening software. GLN286, CYS285, SER289, TYR473, MET364, ARG288, ILE341, and LEU333 residues are found to be significant contributors to the non-bonded interaction between ligands and receptors. Molecular electrostatic potential (MEP), DFT, molecular orbital (MO), ADMET, and toxicological analyses were performed on the selected five high-scored ligands of P. jaubertii. Results documented that all investigated ligands, especially L4, show considerably excellent profiles in molecular docking, MEP, DFT, MO, ADMET, and toxicological predictions, suggesting our drug-designing approaches may contribute to the development of a novel antidiabetic drug for the treatment of T2DM from natural resources.

通过分子对接、ADMET 和毒理学研究从自然资源中鉴定新型抗糖尿病化合物的计算药物设计方法。
2 型糖尿病(T2DM)通常表现为胰岛素相对不足、血糖水平升高以及最主要的风险因素--胰岛素抵抗。因此,开发以 PPAR-γ 受体为靶点的胰岛素增敏剂药物作为治疗 T2DM 的一种有吸引力的选择,引起了人们的极大兴趣。噻唑烷二酮类药物(TZD)通过直接作用于与葡萄糖稳态相关的 PPARγ 受体基因转录,或通过胰岛素的全身增敏作用来提高胰岛素敏感性,从而改善了众多患者的高血糖状况。然而,由于 TZDs 的严重并发症和不良反应,有必要从其他资源中开发一种有效、可靠的胰岛素增敏剂。恰恰相反,大自然蕴藏着丰富的预期有效且更安全的药物;市场上超过 50% 的药物都是由天然产品开发而成的。因此,从药用植物中具有生物活性的次生化合物中寻找新的 PPAR-γ 激动剂,同时提高其疗效和安全性,是开发新型抗糖尿病药物的公认的一贯策略。白头翁(Pulicaria jaubertii)是一种多年生芳香植物,具有抗炎、抗糖尿病、抗菌、抗疟和杀虫特性。目前的研究旨在使用计算机辅助药物设计来探索从毛果芸香科植物中提取的最佳抗糖尿病化合物。通过对80种配体与PPAR-γ受体的分子对接研究,发现有5种配体的对接得分最高,从-8.9 kcal/mol到8.0 kcal/mol不等,比PyRx 8.0虚拟筛选软件测定的标准药物吡格列酮的对接得分(-7.7 kcal/mol)还要高。研究发现,GLN286、CYS285、SER289、TYR473、MET364、ARG288、ILE341 和 LEU333 残基对配体与受体之间的非键相互作用有显著的促进作用。对所选的五种高分配体进行了分子静电势(MEP)、DFT、分子轨道(MO)、ADMET 和毒理学分析。结果表明,所有被研究的配体,尤其是 L4,在分子对接、MEP、DFT、MO、ADMET 和毒理学预测方面都表现出相当优异的特性,这表明我们的药物设计方法可能有助于从天然资源中开发出治疗 T2DM 的新型抗糖尿病药物。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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