Yeni Yeni, Supandi Supandi, Dwita Lusi P, Suswandari Suswandari, Shaharun Maizatul S, Sambudi Nonni S
Department of Pharmacy, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia.
Department of Postgraduate of Social Science Education, Universitas Muhammadiyah Prof. DR. HAMKA, Jakarta, Indonesia.
J Pharm Bioallied Sci. 2020 Nov;12(Suppl 2):S836-S840. doi: 10.4103/jpbs.JPBS_103_20. Epub 2020 Nov 5.
Inflammatory mediators produced by cyclooxygenase (COX) and lipoxygenase (LOX) pathways are responsible for many human diseases, such as cancer, arthritis, and neurological disorders. Flavonoid-containing plants, such as leaves, have shown potential anti-inflammatory activity.
This study aimed to predict the actions of 10 compounds in leaves, which are YGM-0a [cyanidin 3-0-sophoroside-5-0-glucosede], YGM-0f [cyanidin 3-O-(2-0-(6-0-(E)-p-coumaroyl-β-D-glucopyranosyl)-β-D-glucopyranoside)-5-0-β-D-glucopyranoside], YGM-1a [cyanidin 3-(6,6'-caffeylp-hydroxybenzoylsophoroside) -5-glucoside], YGM-1b [cyanidin 3-(6,6'-dicaffeylsophor-oside)-5-glucoside], YGM-2 [cyanidin 3-(6-caffeylsophoroside)-5-glucoside], YGM-3 [cyanidin 3-(6,6'-caffeyl-ferulylsophoroside)-5-glucoside], YGM-4b [peonidin 3-(6,6'-dicaffeylsophoroside)-5- glucoside], YGM-5a [peonidin 3-(6,6'-caffeylphydroxybenzo-ylsophoroside)-5-gluco-side], YGM-5b [cyanidin 3-6-caffeylsophoroside)-5-glucosede], and YGM-6 [peonidin 3-(6,6'-caffeylferulylsophoroside)-5-glucoside] as LOX inhibitors, and also predict the stability of ligand-LOX complex.
The compounds were screened through docking studies using PLANTS. Also, the molecular dynamics simulation was conducted using GROMACS at 310K.
The results showed that the most significant binding affinity toward LOX was shown by YGM-0a and YGM-0a, and the LOX complex in molecular dynamics simulation showed stability for 20 ns.
Based on Docking Studies and Molecular Dynamics Simulation of Leaves compounds, YGM-0a was shown to be the most probable LOX inhibitor.
由环氧化酶(COX)和脂氧合酶(LOX)途径产生的炎症介质与许多人类疾病有关,如癌症、关节炎和神经紊乱。含黄酮类化合物的植物,如叶子,已显示出潜在的抗炎活性。
本研究旨在预测叶子中10种化合物的作用,这些化合物分别是YGM-0a [矢车菊素3-0-槐糖苷-5-0-葡萄糖苷]、YGM-0f [矢车菊素3-O-(2-0-(6-0-(E)-对香豆酰基-β-D-吡喃葡萄糖基)-β-D-吡喃葡萄糖苷)-5-0-β-D-吡喃葡萄糖苷]、YGM-1a [矢车菊素3-(6,6'-咖啡酰对羟基苯甲酰槐糖苷)-5-葡萄糖苷]、YGM-1b [矢车菊素3-(6,6'-二咖啡酰槐糖苷)-5-葡萄糖苷]、YGM-2 [矢车菊素3-(6-咖啡酰槐糖苷)-5-葡萄糖苷]、YGM-3 [矢车菊素3-(6,6'-咖啡酰阿魏酰槐糖苷)-5-葡萄糖苷]、YGM-4b [芍药色素3-(6,6'-二咖啡酰槐糖苷)-5-葡萄糖苷]、YGM-5a [芍药色素3-(6,6'-咖啡酰对羟基苯甲酰槐糖苷)-5-葡萄糖苷]、YGM-5b [矢车菊素3-6-咖啡酰槐糖苷)-5-葡萄糖苷]和YGM-6 [芍药色素3-(6,6'-咖啡酰阿魏酰槐糖苷)-5-葡萄糖苷]作为LOX抑制剂,并预测配体-LOX复合物的稳定性。
通过使用PLANTS的对接研究对这些化合物进行筛选。此外,使用GROMACS在310K下进行分子动力学模拟。
结果表明,YGM-0a和YGM-0a对LOX表现出最显著的结合亲和力,分子动力学模拟中的LOX复合物在20纳秒内显示出稳定性。
基于叶子化合物的对接研究和分子动力学模拟,YGM-0a被证明是最有可能的LOX抑制剂。