Docking Studies and Molecular Dynamics Simulation of Compounds Contained in Kaempferia Galanga L. to Lipoxygenase (LOX) for Anti-Inflammatory Drugs

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES Journal of Mathematical and Fundamental Sciences Pub Date : 2021-09-08 DOI:10.5614/j.math.fund.sci.2021.53.2.4
S. Supandi, Yeni Yeni, L. Dwita
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引用次数: 1

Abstract

Inflammation is a self-protective response to start the healing process. An anti-inflammatory target worth developing are lipoxygenase inhibitors, which have been studied for several diseases, including severe respiratory disease. This research had the goals of estimating the activity of 21 compounds from K. galanga to inhibit the lipoxygenase (LOX) and estimating the bond stability of the ligand-LOX complex. Based on the compound’s affinity for LOX, the compounds in K. galanga were selected by utilizing the PLANTS docking software, with zileuton as the reference ligand. The GROMACS application was used to simulate the molecular dynamics of the LOX-ligand complex at 310 K. Based on the chemPLP score, most of the 21 K. galanga compounds showed a higher affinity towards 5-LOX compared to zileuton. δ-3-carene had the best affinity for 5-LOX. In the simulation of molecular dynamics until 20 ns, the RMSD of δ-3-carene and 5-LOX was not more than 0.03 nm or 0.3 Å, indicating that the whole system showed decent stability and had ‑1.67392 x 106 kcal/mol as the average potential energy. The results showed that K. galanga contains active components of 5-LOX inhibitors that could be developed.
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高良姜山柰中化合物与消炎药脂氧合酶的对接研究及分子动力学模拟
炎症是开始愈合过程的一种自我保护反应。一个值得开发的抗炎靶点是脂氧合酶抑制剂,它已经被研究用于几种疾病,包括严重的呼吸系统疾病。本研究旨在评估高良姜中21个化合物抑制脂氧合酶(LOX)的活性,并评估配体-LOX复合物的键稳定性。根据化合物对LOX的亲和力,利用PLANTS对接软件选择高良姜中的化合物,并以zileuton作为参考配体。使用GROMACS应用程序模拟了lox -配体配合物在310 K下的分子动力学。根据chemPLP评分,21种高良姜化合物中大多数对5-LOX的亲和力高于zileuton。δ-3-芳烃对5-LOX的亲和力最好。在20 ns的分子动力学模拟中,δ-3-蒈烯和5-LOX的RMSD均不大于0.03 nm或0.3 Å,表明整个体系具有较好的稳定性,平均势能为- 1.67392 x 106 kcal/mol。结果表明,高良姜中含有可开发的5-LOX抑制剂活性成分。
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来源期刊
CiteScore
1.30
自引率
0.00%
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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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