日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Corrigendum to "Evaluation of the Endocrine Disrupting Potential of Di-isononyl Phthalate" [Curr. Res. Toxicol. 8 (2025) 100220]

对“邻苯二甲酸二异壬酯内分泌干扰潜力的评估”的更正[Curr. Res. Toxicol. 8 (2025) 100220]

Lea, I A; Buerger, A N; Feifarek, D; Mihalchik, A; Heintz, M M; Haws, L C; Nyambego, H; Goyak, K; Palermo, C; Borghoff, S J

Evaluation of the endocrine disrupting potential of Di-isononyl phthalate

对邻苯二甲酸二异壬酯内分泌干扰潜力的评价

Lea, I A; Buerger, A N; Feifarek, D; Mihalchik, A; Heintz, M M; Haws, L C; Nyambego, H; Goyak, K; Palermo, C; Borghoff, S J

Evaluation of the endocrine disrupting potential of Di-isodecyl phthalate

邻苯二甲酸二异癸酯内分泌干扰潜力的评价

Lea, I A; Feifarek, D; Mihalchik, A; Heintz, M; Haws, L; Nyambego, H; Goyak, K; Palermo, C; Borghoff, S J

Case Study in 21st-Century Ecotoxicology: Using In Vitro Aromatase Inhibition Data to Predict Reproductive Outcomes in Fish In Vivo

21世纪生态毒理学案例研究:利用体外芳香化酶抑制数据预测鱼类体内繁殖结果

Villeneuve, Daniel L; Blackwell, Brett R; Blanksma, Chad A; Cavallin, Jenna E; Cheng, Wan-Yun; Conolly, Rory B; Conrow, Kendra; Feifarek, David J; Heinis, Larry J; Jensen, Kathleen M; Kahl, Michael D; Milsk, Rebecca Y; Poole, Shane T; Randolph, Eric C; Saari, Travis W; Watanabe, Karen H; Ankley, Gerald T

Evaluation of Complex Mixture Toxicity in the Milwaukee Estuary (WI, USA) Using Whole-Mixture and Component-Based Evaluation Methods

利用整体混合物和组分评价方法评估密尔沃基河口(美国威斯康星州)复杂混合物的毒性

Maloney, Erin M; Villeneuve, Daniel L; Jensen, Kathleen M; Blackwell, Brett R; Kahl, Michael D; Poole, Shane T; Vitense, Kelsey; Feifarek, David J; Patlewicz, Grace; Dean, Kendra; Tilton, Charlene; Randolph, Eric C; Cavallin, Jenna E; LaLone, Carlie A; Blatz, Donovan; Schaupp, Christopher M; Ankley, Gerald T

Pathway-Based Approaches for Assessing Biological Hazards of Complex Mixtures of Contaminants: A Case Study in the Maumee River

基于途径的方法评估复杂污染物混合物的生物危害:以莫米河为例

Ankley, G T; Berninger, J P; Blackwell, B R; Cavallin, J E; Collette, T W; Ekman, D R; Fay, K A; Feifarek, D J; Jensen, K M; Kahl, M D; Mosley, J D; Poole, S T; Randolph, E C; Rearick, D; Schroeder, A L; Swintek, J; Villeneuve, D L

Case Study in 21st Century Ecotoxicology: Using In Vitro Aromatase Inhibition Data to Predict Short-Term In Vivo Responses in Adult Female Fish.

21 世纪生态毒理学案例研究:利用体外芳香化酶抑制数据预测成年雌性鱼类的短期体内反应

Villeneuve Daniel L, Blackwell Brett R, Cavallin Jenna E, Cheng Wan-Yun, Feifarek David J, Jensen Kathleen M, Kahl Michael W, Milsk Rebecca Y, Poole Shane T, Randolph Eric C, Saari Travis W, Ankley Gerald T

Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction

用于预测雌激素受体生物活性和内分泌干扰的机器学习模型

Zorn, Kimberley M; Foil, Daniel H; Lane, Thomas R; Russo, Daniel P; Hillwalker, Wendy; Feifarek, David J; Jones, Frank; Klaren, William D; Brinkman, Ashley M; Ekins, Sean

Comparing Machine Learning Models for Aromatase (P450 19A1)

比较芳香化酶(P450 19A1)的机器学习模型

Zorn, Kimberley M; Foil, Daniel H; Lane, Thomas R; Hillwalker, Wendy; Feifarek, David J; Jones, Frank; Klaren, William D; Brinkman, Ashley M; Ekins, Sean

Comparison of Machine Learning Models for the Androgen Receptor

雄激素受体机器学习模型的比较

Zorn, Kimberley M; Foil, Daniel H; Lane, Thomas R; Hillwalker, Wendy; Feifarek, David J; Jones, Frank; Klaren, William D; Brinkman, Ashley M; Ekins, Sean