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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Docking and QSAR study on the binding interactions between polycyclic aromatic hydrocarbons and estrogen receptor
Fei Li1, Huifeng Wu, Lianzhen Li
1Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, YICCAS, Yantai Shandong 264003, PR China.
Polycyclic aromatic hydrocarbons (PAHs) exhibit estrogenic activity through interactions with estrogen receptor alpha (ERα). Molecular docking and QSAR modeling identified key structural features influencing this binding and activity.
Area of Science:
- Environmental Chemistry
- Toxicology
- Computational Chemistry
Background:
- Estrogenic activities of polycyclic aromatic hydrocarbons (PAHs) are poorly understood.
- Mechanisms underlying PAH estrogenicity remain unclear.
Purpose of the Study:
- To investigate the estrogenic activities of PAHs.
- To elucidate the mechanisms of PAH interaction with estrogen receptor alpha (ERα).
- To develop a quantitative structure-activity relationship (QSAR) model for predicting PAH binding affinity to ERα.
Main Methods:
- Molecular docking simulations were employed to analyze interactions between PAHs and ERα.
- Quantitative structure-activity relationship (QSAR) modeling was developed based on docking results.
- Key molecular descriptors influencing estrogenic activity were identified.
Main Results:
- Molecular docking revealed hydrogen bonding, hydrophobic, and π interactions between PAHs and ERα.
- A QSAR model incorporating five descriptors (molecular size, van der Waals volumes, shape, polarizability, electropological states) was established.
- These descriptors significantly explain the observed estrogenicity of PAHs.
Conclusions:
- The developed QSAR model demonstrates good robustness, predictive capability, and mechanistic interpretability.
- The model provides insights into the structural determinants of PAH estrogenicity.
- The study enhances understanding of environmental estrogens and their interactions with the estrogen receptor.
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