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Structure-Based Virtual Screening of Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) as Endocrine Disruptors of Androgen Receptor Activity Using Molecular Docking and Machine Learning

机译：基于结构的全氟烷基和聚氟烷基物质（PFASS）作为雄激素受体活性的内分泌破坏剂的虚拟筛选使用分子对接和机器学习

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Azhagiya Singam Ettayapuram Ramaprasad; Phum Tachachartvanich; Denis Fourches; Anatoly Soshilov; Jennifer C.Y. Hsieh; Michele La merrill; Martyn T. Smith; Kathleen A. Durkin;
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1. Structure-based virtual screening of perfluoroalkyl and polyfluoroalkyl substances (PFASs) as endocrine disruptors of androgen receptor activity using molecular docking and machine learning [J] . Ettayapuram Ramaprasad Azhagiya Singam, Phum Tachachartvanich, Denis Fourches, Environmental research . 2020,第Nova期

机译：基于结构的全氟烷基和聚氟烷基物质（PFASS）作为雄激素受体活性的内分泌破坏剂的虚拟筛选使用分子对接和机器学习
2. Preliminary hazard evaluation of androgen receptor-mediated endocrine-disrupting effects of thioxanthone metabolites through structure-based molecular docking [J] . GinexT., DallAstaC., CozziniP. Chemical research in toxicology . 2014,第2期

机译：通过基于结构的分子对接作用对雄激素受体介导的噻吨酮代谢产物的内分泌干扰作用的初步危害评估
3. Using Machine Learning to Classify Bioactivity for 3486 Per- and Polyfluoroalkyl Substances (PFASs) from the OECD List [J] . Cheng Weixiao, Ng Carla A. Environmental Science & Technology . 2019,第23期

机译：使用机器学习对OECD清单中3486种全氟和多氟烷基物质（PFAS）的生物活性进行分类
4. QSAR STUDY OF ENVIRONMENTAL ENDOCRINE DISRUPTING CHEMICALS FOR BINDING TO THE ANDROGEN RECEPTOR BASED ON HYBRID METHOD [C] . Chunyan Zhao International symposium on halogenated persistent organic pollutants . 2009

机译：基于混合方法的环境内分泌干扰化学物质与雄激素受体结合的QSAR研究
5. Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) in Groundwater at a Reclaimed Water Recharge Facility [D] . ?Cá?ez, Tiffani Trinidad 2020

机译：全氟烷基和多氟烷基物质（ PFASs ）的地下水在再生水回灌设施
6. Endocrine Disruptor Potential of Short- and Long-Chain Perfluoroalkyl Substances (PFASs)—A Synthesis of Current Knowledge with Proposal of Molecular Mechanism [O] . Katarzyna Mokra 2021

机译：短链和长链全氟烷基物质的内分泌干扰潜力（PFASS） - 当前知识的合成分子机制提案
7. Structure-Based Virtual Screening of Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) as Endocrine Disruptors of Androgen Receptor Activity Using Molecular Docking and Machine Learning [O] . Azhagiya Singam Ettayapuram Ramaprasad, Phum Tachachartvanich, Denis Fourches, 2020

机译：基于结构的全氟烷基和聚氟烷基物质（PFASS）作为雄激素受体活性的内分泌破坏剂的虚拟筛选使用分子对接和机器学习

Structure-Based Virtual Screening of Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) as Endocrine Disruptors of Androgen Receptor Activity Using Molecular Docking and Machine Learning

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