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Study on the interaction of pentachlorothiophenol with Chinese rare minnow transthyretin
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Song-shan ZHAO, Jia-wei ZHANG, Zheng ZHANG, Hui-hui LIU, Xian-hai YANG*
China Environmental Science | 2026, 46(3) : 1638 - 1645
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China Environmental Science | 2026, 46(3): 1638-1645
• Environmental Toxicology and Environmental Health •
Study on the interaction of pentachlorothiophenol with Chinese rare minnow transthyretin
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Song-shan ZHAO, Jia-wei ZHANG, Zheng ZHANG, Hui-hui LIU, Xian-hai YANG*
Affiliations
  • School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Published: 2026-03-20
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In this study, the pentachlorothiophenol (PCTP) and Chinese rare minnow (Gobiocypris rarus) transthyretin were selected as the objects of study. We determined the potential binding affinity data of pentachlorothiophenol on Chinese rare minnow transthyretin, revealed the underlying molecular recognition mechanism between pentachlorothiophenol and the protein, and derived the binary classification models for distinguishing whether a given substance was a potential Chinese rare minnow transthyretin disruptor or not by using the Chinese rare minnow transthyretin disrupting data measured in this study and previous studies. The experimental results indicated that the observed water solubility value of pentachlorothiophenol was (0.636 ± 0.0871) mg/L (25℃). The relative competing potency of pentachlorothiophenol with 3,3′,5,5′-Tetraiodo-L-thyronine (T4) binding to Chinese rare minnow transthyretin (logRP) was (0.0200 ± 0.0533), implying that pentachlorothiophenol was a high potency Chinese rare minnow transthyretin disruptor. The molecular simulation results documented that the binding interaction between pentachlorothiophenol and Chinese rare minnow transthyretin was controlled by the halogen hydrogen bond, halogen bond, and hydrophobic interactions. In the modelling, three optimum binary classification models (i.e. k nearest neighbour model, random forest model, decision tree model) were successfully developed. The statistical parameters (e.g. predictive accuracy (Q)) values of those optimum models were 1, highlighting that those optimum models had great classification performance. Finally, the tool named "TTR Profiler" that used to identify potential transthyretin disruptors was updated by integrating the newly developed optimum models, which means that the application domain of the related models in the new tool covered the thiophenols.

pentachlorothiophenol  /  endocrine disrupting effects  /  Chinese rare minnow transthyretin  /  mechanism of action  /  predictive model
赵嵩山, 张嘉伟, 张政, 刘会会, 杨先海. 五氯苯硫酚与稀有鮈鲫运甲状腺素蛋白相互作用研究. 中国环境科学, 2026 , 46 (3) : 1638 -1645 .
Song-shan ZHAO, Jia-wei ZHANG, Zheng ZHANG, Hui-hui LIU, Xian-hai YANG. Study on the interaction of pentachlorothiophenol with Chinese rare minnow transthyretin[J]. China Environmental Science, 2026 , 46 (3) : 1638 -1645 .
Year 2026 volume 46 Issue 3
74
16
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  • Receive Date:2025-07-31
  • Online Date:2026-10-08
  • Published:2026-03-20
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  • Received:2025-07-31
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    School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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