Tsakovska Ivanka, Al Sharif Merilin, Alov Petko, Diukendjieva Antonia, Fioravanzo Elena, Cronin Mark T D, Pajeva Ilza
Institute of Biophysics and Biomedical Engineering-BAS, Acad. G. Bonchev Str., Bl.105, Sofia 1113, Bulgaria.
Soluzioni Informatiche srl, Via Ferrari 14, Vicenza 36100, Italy.
Int J Mol Sci. 2014 May 5;15(5):7651-66. doi: 10.3390/ijms15057651.
The comprehensive understanding of the precise mode of action and/or adverse outcome pathway (MoA/AOP) of chemicals has become a key step toward the development of a new generation of predictive toxicology tools. One of the challenges of this process is to test the feasibility of the molecular modelling approaches to explore key molecular initiating events (MIE) within the integrated strategy of MoA/AOP characterisation. The description of MoAs leading to toxicity and liver damage has been the focus of much interest. Growing evidence underlines liver PPARγ ligand-dependent activation as a key MIE in the elicitation of liver steatosis. Synthetic PPARγ full agonists are of special concern, since they may trigger a number of adverse effects not observed with partial agonists. In this study, molecular modelling was performed based on the PPARγ complexes with full agonists extracted from the Protein Data Bank. The receptor binding pocket was analysed, and the specific ligand-receptor interactions were identified for the most active ligands. A pharmacophore model was derived, and the most important pharmacophore features were outlined and characterised in relation to their specific role for PPARγ activation. The results are useful for the characterisation of the chemical space of PPARγ full agonists and could facilitate the development of preliminary filtering rules for the effective virtual ligand screening of compounds with PPARγ full agonistic activity.
全面了解化学物质的精确作用模式和/或不良结局途径(MoA/AOP)已成为开发新一代预测毒理学工具的关键一步。这一过程面临的挑战之一是在MoA/AOP表征的综合策略中测试分子建模方法探索关键分子起始事件(MIE)的可行性。导致毒性和肝损伤的作用机制描述一直是备受关注的焦点。越来越多的证据强调肝脏中PPARγ配体依赖性激活是引发肝脂肪变性的关键MIE。合成PPARγ完全激动剂尤其令人担忧,因为它们可能引发一些部分激动剂未观察到的不良反应。在本研究中,基于从蛋白质数据库中提取的与完全激动剂结合的PPARγ复合物进行了分子建模。分析了受体结合口袋,并确定了最具活性配体的特定配体-受体相互作用。推导了药效团模型,并概述了最重要的药效团特征,并根据它们对PPARγ激活的特定作用进行了表征。这些结果有助于表征PPARγ完全激动剂的化学空间,并有助于制定初步筛选规则,以有效地虚拟筛选具有PPARγ完全激动活性的化合物。