QSAR Lab Ltd., Trzy Lipy 3, 80-172 Gdansk, Poland.
BioDetection Systems B.V., Science Park 406, 1098 XH Amsterdam, The Netherlands.
Molecules. 2023 Jan 4;28(2):479. doi: 10.3390/molecules28020479.
In this study, we investigated PFAS (per- and polyfluoroalkyl substances) binding potencies to nuclear hormone receptors (NHRs): peroxisome proliferator-activated receptors (PPARs) α, β, and γ and thyroid hormone receptors (TRs) α and β. We have simulated the docking scores of 43 perfluoroalkyl compounds and based on these data developed QSAR (Quantitative Structure-Activity Relationship) models for predicting the binding probability to five receptors. In the next step, we implemented the developed QSAR models for the screening approach of a large group of compounds (4464) from the NORMAN Database. The in silico analyses indicated that the probability of PFAS binding to the receptors depends on the chain length, the number of fluorine atoms, and the number of branches in the molecule. According to the findings, the considered PFAS group bind to the PPARα, β, and γ only with low or moderate probability, while in the case of TR α and β it is similar except that those chemicals with longer chains show a moderately high probability of binding.
在这项研究中,我们研究了全氟和多氟烷基物质 (PFAS) 与核激素受体 (NHR) 的结合能力:过氧化物酶体增殖物激活受体 (PPAR)α、β 和 γ 以及甲状腺激素受体 (TR)α 和 β。我们模拟了 43 种全氟烷基化合物的对接分数,并基于这些数据为预测与五个受体的结合概率开发了定量构效关系 (QSAR) 模型。在下一个步骤中,我们为从 NORMAN 数据库筛选大量化合物(4464 种)实施了开发的 QSAR 模型。计算机分析表明,PFAS 与受体结合的概率取决于链长、氟原子数量和分子中的支链数量。根据研究结果,考虑到的 PFAS 组与 PPARα、β 和 γ 的结合概率较低或中等,而在 TRα 和 TRβ 的情况下情况类似,只是具有较长链的这些化学物质显示出中等高的结合概率。