Estradiol derivatives, with similar structures as estradiol (E2) or estradiol metabolites, have been recognized to have detrimental health effects on wildlife and humans. However, data at the molecular level about interactions of these compounds with biological targets are still lacking. Herein, a flexible docking approach was used to characterize the molecular interaction of nine estradiol derivatives with estrogen receptor alpha (ERα) in the ligand-binding domain. All ligands were docked in the buried hydrophobic cavity of the steroid hormone pocket. In addition, the plasticity of an active site was also identified by reversing amino acid arginine 394 for better ligand-receptor binding affinity. Finally, bioassays based on genetically modified yeast strains were used to validate the quality of molecular simulation because of their rapidity and high sensitivity. The experimental findings about logarithm values of the median effective concentration (EC50) value had a linear correlation with computational binding affinity from molecular docking, which described a pattern of interaction between estradiol derivatives and ER. The estrogenic activity of all compounds, although more or less lower than E2, was proved to possess high severe environmental risks. Considering the sidechain flexibility in the ligand binding pocket, 17α-ethylestradiol-3-cyclopentylether was reported to correlate highly significantly with known induced fit conformational changes based upon proof-of-principle calculations on human ERα with the preservation of a strong salt bridge between glutamic acid 353 and arginine 394.
Endocrine disrupting chemicals (EDCs) in the natural environment exhibit a unique non-monotonic dose-response curve and it is impossible to select one simple index to characterize the bilogogical activity of these compounds. Quantitative structure-activity relationship (QSAR) study on non-monotonic dose-response curve has become a real challenge presently. In order to explore the possible mechanism for the non-monotonic dose-response curve of polychlorinated biphenyls congeners (PCBs) in chicken embryo hepatocyte bioassay, AM1 method of ChemOffice was adopted to calculate necessary structure descriptors for PCBs, while the interactions between PCBs and simulated AhR ligand binding domain (LBD) were analyzed by using FlexX in SYBYL7.0. Different binding modes for PCBs have been distinguished not only from aligned conformation but also from free binding energy. Some QSAR models were established separately for both low and high doses ranges, revealing that receptor binding may predominate in the interference of the physiological function of cytochrome P4501A-P4501A in the low doses range. But with the higher doses range, the EROD suppression might be related to acute toxicity owing to molecular polarity or distribution of charges and consequently damage structure and function of chicken embryo hepatocyte. polychlorinated biphenyls congeners (PCBs), non-monotonic dose-response curve, quantitative structure-activity relationship (QSAR)
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