Omoboyowa Damilola A, Singh Gagandeep, Fatoki John O, Oyeneyin Oluwatoba E
Department of Biochemistry, Adekunle Ajasin University, Ondo, Nigeria.
Section of Microbiology, Central Ayurveda Research Institute, Jhansi, Uttar Pradesh, India.
J Biomol Struct Dyn. 2023 Jul-Aug;41(12):5568-5582. doi: 10.1080/07391102.2022.2091657. Epub 2022 Jun 30.
Type 2 diabetes mellitus remains global health challenge with involvement of both insulin resistance and dysfunctional insulin secretion from the pancreatic β-cell. Currently, peroxisome proliferator-activated receptor gamma (PPARγ) has been established to play a significant role in glucose homeostasis and insulin sensitization contributing to the pathogenesis of type 2 diabetes mellitus. Hence, this study used in-silico analysis to predict PPARγ antagonists from the natural compounds. ADMET screening, structure-based virtual screening and MM/GBSA calculations of phytochemicals from HPLC analysis of seeds were performed against PPARγ using Maestro Schrodinger suite, followed by the MD simulation of top hit compounds and reference ligand using GROMACS. The quantum chemical calculations of the compounds were performed using Spartan 14 computational chemistry software. The five compounds showed varying degree of binding affinity against PPARγ, the post-docking analysis confirmed strong interaction against the amino acid residues of the binding site of the target. Chlorogenic acid showed the highest docking score (-10.719 kcal/mol) among the compounds comparable to the reference ligand (acarbose = -10.634 kcal/mol). Additionally, MM/GBSA binding free energy (Δ) calculations support the modulatory potential for the docked compounds, which exclusively revealed the highest binding energy for the compounds than the reference ligand (acarbose). The MD simulations suggested the stability of Chlorogenic acid and Quercetin in complex with PPARγ at least in the time period of 90 ns after initial equilibration state with more H-bond observed between the target-hit compounds complex compared to the Acarbose-PPARγ complex. ADMET profile revealed that the five compounds were favorably druggable and promising drug candidates. The quantum chemical calculations showed that the compounds possess better bioactivity and chemical reactivity with favorable intra-molecular charge transfer as electron-donor and electron-acceptor. This study revealed that bioactive compounds especially chlorogenic acid and quercetin identified from seeds demonstrated good modulatory potential against PPARγ compared to acarbose. Therefore, these compounds require further experimental validation for the discovery of new antagonist of PPARγ for developing new anti-diabetes therapy.Communicated by Ramaswamy H. Sarma.
2型糖尿病仍然是一项全球性的健康挑战,涉及胰岛素抵抗和胰腺β细胞胰岛素分泌功能障碍。目前,已证实过氧化物酶体增殖物激活受体γ(PPARγ)在葡萄糖稳态和胰岛素敏感性中起重要作用,这与2型糖尿病的发病机制有关。因此,本研究采用计算机模拟分析从天然化合物中预测PPARγ拮抗剂。使用Maestro Schrodinger套件对种子HPLC分析得到的植物化学物质进行ADMET筛选、基于结构的虚拟筛选和MM/GBSA计算,以针对PPARγ,随后使用GROMACS对命中的顶级化合物和参考配体进行MD模拟。使用Spartan 14计算化学软件对化合物进行量子化学计算。这五种化合物对PPARγ表现出不同程度的结合亲和力,对接后分析证实与靶标结合位点的氨基酸残基有强烈相互作用。绿原酸在这些化合物中显示出最高的对接分数(-10.719 kcal/mol),与参考配体(阿卡波糖=-10.634 kcal/mol)相当。此外,MM/GBSA结合自由能(Δ)计算支持对接化合物的调节潜力,该计算专门显示这些化合物的结合能高于参考配体(阿卡波糖)。MD模拟表明,绿原酸和槲皮素与PPARγ形成的复合物在初始平衡状态后的至少90 ns时间段内是稳定的,与阿卡波糖-PPARγ复合物相比,靶标-命中化合物复合物之间观察到更多的氢键。ADMET概况显示这五种化合物具有良好的成药性,是有前景的候选药物。量子化学计算表明,这些化合物具有更好的生物活性和化学反应性,具有作为电子供体和电子受体的有利分子内电荷转移。本研究表明,从种子中鉴定出的生物活性化合物,尤其是绿原酸和槲皮素,与阿卡波糖相比,对PPARγ具有良好的调节潜力。因此,这些化合物需要进一步的实验验证,以发现PPARγ的新拮抗剂,从而开发新的抗糖尿病疗法。由Ramaswamy H. Sarma传达。