Development of a Protocol for Virtual Screening of PPARγ Weak Partial Agonists and Their Metabolites: Case Study on Naturally-derived Oleanane Triterpenoids

Q4 Agricultural and Biological Sciences International Journal Bioautomation Pub Date : 2021-06-30 DOI:10.7546/ijba.2021.25.2.000792
M. A. Sharif, P. Alov, V. Vitcheva, Antonia Diukendjieva, Denitsa Aluani, V. Tzankova, I. Pajeva
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Abstract

Triterpenoids are well known metabolic syndrome (MetS) modulators. One of the suggested molecular mechanisms of action involves peroxisome proliferator-activated receptor gamma (PPARγ) activation. In this study we aimed to: (i) develop a virtual screening (VS) protocol for PPARγ weak partial agonists, (ii) predict potential metabolic transformations of naturally-derived triterpenoids, and (iii) perform VS of the triterpenoids and their metabolites. The NIH PubMed system was searched for publications about naturally-derived oleanane triterpenoids which are agonists or up-regulators of PPARγ. Structure- and ligand-based methods were combined in the development of the VS protocol. Metabolites were predicted using Meteor Nexus expert system (Lhasa Limited). Two in-house virtual libraries of PPARγ weak partial agonists and naturally-derived triterpenoids with their predicted metabolites were compiled. The pharmacophore-based docking protocol was applied for VS of the collected triterpenoids. Most of the docking poses reproduced the binding mode of caulophyllogenin (a weak partial agonist) in a complex with PPARγ (PDB ID 5F9B). Our results contribute to the mechanistic explanation of the effects of triterpenoids suggesting possible weak partial agonistic activity toward PPARγ. This research can direct further studies on triterpenoids’ role in MetS modulation. The developed protocol can be applied for VS of any PPARγ weak partial agonists.
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PPARγ弱部分激动剂及其代谢物虚拟筛选方案的开发:天然衍生齐墩烷三萜的案例研究
三萜类化合物是众所周知的代谢综合征(MetS)调节剂。所提出的分子作用机制之一涉及过氧化物酶体增殖物激活受体γ(PPARγ)的激活。在这项研究中,我们的目标是:(i)开发PPARγ弱部分激动剂的虚拟筛选(VS)方案,(ii)预测天然衍生的三萜类化合物的潜在代谢转化,以及(iii)对三萜类及其代谢产物进行VS。在NIH PubMed系统中搜索有关天然衍生的油酸烷三萜类化合物的出版物,这些化合物是PPARγ的激动剂或上调因子。在VS方案的开发中,结合了基于结构和配体的方法。使用Meteor Nexus专家系统(拉萨有限公司)预测代谢物。编写了PPARγ弱部分激动剂和天然衍生的三萜类化合物及其预测代谢产物的两个内部虚拟文库。基于药效团的对接方案应用于收集的三萜类化合物的VS。大多数对接姿势在与PPARγ(PDB ID 5F9B)的复合物中复制了茎叶素(一种弱部分激动剂)的结合模式。我们的结果有助于对三萜类化合物作用的机制解释,表明其对PPARγ的部分激动活性可能较弱。本研究可指导进一步研究三萜类化合物在代谢综合征调节中的作用。所开发的方案可用于任何PPARγ弱部分激动剂的VS。
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来源期刊
International Journal Bioautomation
International Journal Bioautomation Agricultural and Biological Sciences-Food Science
CiteScore
1.10
自引率
0.00%
发文量
22
审稿时长
12 weeks
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