Pharmacophore Modeling, Docking, and Molecular Dynamics Simulation of Flavonoids as Inhibitors of Urokinase-type Plasminogen Activator

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES
D. H. Tjahjono, B. L. Sari, Slamet Ibrahim
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引用次数: 1

Abstract

The urokinase-type plasminogen activator (uPA) system plays a significant role in the invasion and metastasis of cancer cells. The present study was conducted to investigate natural product compounds as inhibitors and hit molecules of uPA using in-silico analysis. A pharmacophore model was built to screen the Indonesian Herbal Database (HerbalDB) to obtain inhibitors of different scaffolds. Based on the molecular docking score, four ligands were selected as potential uPA inhibitors. Subsequently, the stability of the ligand-uPA complex was analyzed using molecular dynamics (MD) simulation. An RMSD graph of the backbone protein and the RMSF values of the amino acid residues were also determined. In addition, the MM-PBSA method was applied to calculate the free binding energy. According to the results, Model_3, characterized by aromatic rings 23 (F1 and F2), cationic H-bond donor (F3), and metal ligator (F4) features, had an adequate goodness-of-hit score (GH). The four top-ranked ligands, isorhamnetin, rhamnetin, quercetin, and kaempferol, showed higher docking scores compared to the others. This study confirmed that isorhamnetin, rhamnetin, and kaempferol build stable complexes with uPA with lower binding energy than quercetin.
类黄酮作为尿激酶型纤溶酶原激活物抑制剂的药效团建模、对接及分子动力学模拟
尿激酶型纤溶酶原激活物(uPA)系统在癌细胞的侵袭和转移中起重要作用。本研究采用硅分析方法研究天然产物化合物作为uPA的抑制剂和hit分子。建立药效团模型,筛选印尼草药数据库(HerbalDB),获得不同支架抑制剂。根据分子对接评分,选择了4种配体作为潜在的uPA抑制剂。随后,利用分子动力学(MD)模拟分析了配体- upa配合物的稳定性。测定了骨架蛋白的RMSD图和氨基酸残基的RMSF值。此外,采用MM-PBSA法计算了自由结合能。结果表明,Model_3具有芳香环23 (F1和F2)、阳离子氢键供体(F3)和金属螯合体(F4)特征,具有较好的命中优度(GH)。排名靠前的四种配体,异鼠李素、鼠李素、槲皮素和山奈酚,与其他配体相比,显示出更高的对接分数。本研究证实异鼠李素、鼠李素和山奈酚与uPA形成稳定的配合物,其结合能低于槲皮素。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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