在计算机上鉴定来自初榨椰子油的天然化合物作为潜在的配体过氧化物酶体增殖物激活受体γ作为预防结肠炎的食物:它真的有效吗?

IF 1.4 Q3 Pharmacology, Toxicology and Pharmaceutics
Ni Made Rika Trismayanti, Kusworini, Handayani Dian
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引用次数: 0

摘要

溃疡性结肠炎(UC)是一种以带血腹泻为特征的大肠炎症。UC在儿童中有更广泛的表现。目前的治疗没有取得令人满意的结果。这是需要预防性治疗以降低儿童UC发病率和死亡率的基础。初榨椰子油(VCO)是一种可行的膳食补充剂,因为它能够作为过氧化物酶体增殖物激活受体(PPAR)配体,抑制促炎细胞因子的释放。本研究的目的是使用基于对接的虚拟筛选方法,从VCO中确定具有预防结肠炎潜力的天然化合物。定量结构-活性关系分析用于找出输入化合物和数据库的相似程度。使用AutoDockTools 1.5.6进行对接。使用的算法是拉马克遗传算法(4.2)。PPAR-γ(PPAR-γ)被用作与罗格列酮的复合物中的靶蛋白(ID PDB:7AWC)。PyMol 2.5.1用于制备和可视化三维数据,氨基酸相互作用使用Discovery Studio 2021客户端进行可视化。研究发现,VCO中的亚油酸和油酸具有抗炎作用,预测值分别为0.73和0.614,它们阻止肿瘤坏死因子(TNF)的表达,预测值为0.751和0.724。分子对接的结果表明,VCO化合物能够与与对照相同的残基相互作用。VCO通过作为PPAR-γ和TNF表达抑制剂来减少炎症。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

<i>In silico</i> identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work?

<i>In silico</i> identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work?

<i>In silico</i> identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work?

In silico identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work?

Ulcerative colitis (UC) is an inflammation of the large intestine characterized by diarrhea with blood. UC has a more extensive manifestation in children. Current therapy has not given satisfactory results. This is the basis for the need for preventive therapy to reduce the morbidity and mortality of UC in children. Virgin coconut oil (VCO) is a viable dietary supplement option due to its ability to act as a peroxisome proliferator-activated receptor (PPAR) ligand, inhibiting the release of pro-inflammatory cytokines. The aim of this study was to determine natural compounds from VCO that have the potential to prevent colitis using a docking-based virtual screening approach. Quantitative structure-activity relationship analysis was used to find out how similar the input compounds and the database were. Docking is done using AutoDockTools 1.5.6. The algorithm used is the Lamarckian Genetic Algorithm (4.2). PPAR-gamma (PPAR-γ) was used as the target protein in a complex with rosiglitazone (ID PDB: 7AWC). PyMol 2.5.1 was used to prepare and visualize three-dimensional data, and the amino acid interactions were visualized using Discovery Studio 2021 Clients. It was found that linoleic acid and oleic acid in VCO have anti-inflammatory effects with predictive values of 0.73 and 0.614, respectively, and that they stop tumor necrosis factor (TNF) expression with predictive values of 0.751 and 0.724. The result of molecular docking showed that the VCO compound was able to interact with the same residue as the control. VCO reduces inflammation by acting as a PPAR-γ and TNF expression inhibitor.

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来源期刊
CiteScore
2.00
自引率
7.10%
发文量
44
审稿时长
20 weeks
期刊介绍: Journal of Advanced Pharmaceutical Technology & Research (JAPTR) is an Official Publication of Society of Pharmaceutical Education & Research™. It is an international journal published Quarterly. Journal of Advanced Pharmaceutical Technology & Research (JAPTR) is available in online and print version. It is a peer reviewed journal aiming to communicate high quality original research work, reviews, short communications, case report, Ethics Forum, Education Forum and Letter to editor that contribute significantly to further the scientific knowledge related to the field of Pharmacy i.e. Pharmaceutics, Pharmacology, Pharmacognosy, Pharmaceutical Chemistry. Articles with timely interest and newer research concepts will be given more preference.
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