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SAR and QSAR in Environmental Research Volume 22, 2011 - Issue 1-2: 14th International Workshop on Quantitative Structure-Activity Relationships in Environmental and Health Sciences (QSAR2010) - Part 2
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14th International Workshop on Quantitative Structure-Activity Relationships in Environmental and Health Sciences (QSAR2010) - Part 2

QSAR models for anti-androgenic effect – a preliminary study

G.E. Jensen National Food Institute, Technical University of Denmark, Department of Toxicology and Risk Assessment, Søborg, DenmarkCorrespondence[email protected]
,
N.G. Nikolov National Food Institute, Technical University of Denmark, Department of Toxicology and Risk Assessment, Søborg, Denmark
,
E.B. Wedebye National Food Institute, Technical University of Denmark, Department of Toxicology and Risk Assessment, Søborg, Denmark
,
T. Ringsted National Food Institute, Technical University of Denmark, Department of Toxicology and Risk Assessment, Søborg, Denmark
&
J.R. Niemelä National Food Institute, Technical University of Denmark, Department of Toxicology and Risk Assessment, Søborg, Denmark
Pages 35-49 | Received 28 May 2010, Accepted 10 Sep 2010, Published online: 09 Mar 2011

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Sugunadevi Sakkiah, Wenjing Guo, Bohu Pan, Rebecca Kusko, Weida Tong & Huixiao Hong. (2018) Computational prediction models for assessing endocrine disrupting potential of chemicals. Journal of Environmental Science and Health, Part C 36:4, pages 192-218.
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U. Norinder, A. Rybacka & P.L. Andersson. (2016) Conformal prediction to define applicability domain – A case study on predicting ER and AR binding. SAR and QSAR in Environmental Research 27:4, pages 303-316.
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T.M. Martin. (2016) Prediction of in vitro and in vivo oestrogen receptor activity using hierarchical clustering. SAR and QSAR in Environmental Research 27:1, pages 17-30.
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J. Devillers, E. Bro & F. Millot. (2015) Prediction of the endocrine disruption profile of pesticides. SAR and QSAR in Environmental Research 26:10, pages 831-852.
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Articles from other publishers (12)

Alfonso T. García-Sosa & Uko Maran. (2021) Combined Naïve Bayesian, Chemical Fingerprints and Molecular Docking Classifiers to Model and Predict Androgen Receptor Binding Data for Environmentally- and Health-Sensitive Substances. International Journal of Molecular Sciences 22:13, pages 6695.
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Nafiseh Vahedi, Majid Mohammadhosseini & Mehdi Nekoei. (2020) QSAR Study of PARP Inhibitors by GA-MLR, GA-SVM and GA-ANN Approaches. Current Analytical Chemistry 16:8, pages 1088-1105.
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Daniela Trisciuzzi, Domenico Alberga, Kamel Mansouri, Richard Judson, Ettore Novellino, Giuseppe Felice Mangiatordi & Orazio Nicolotti. (2017) Predictive Structure-Based Toxicology Approaches To Assess the Androgenic Potential of Chemicals. Journal of Chemical Information and Modeling 57:11, pages 2874-2884.
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Anna Kjerstine Rosenmai, Linda Bengtström, Camilla Taxvig, Xenia Trier, Jens Højslev Petersen, Terje Svingen, Mona-Lise Binderup, van Vugt-Lussenburg Barbara Medea Alice, Marianne Dybdahl, Kit Granby & Anne Marie Vinggaard. (2017) An effect-directed strategy for characterizing emerging chemicals in food contact materials made from paper and board. Food and Chemical Toxicology 106, pages 250-259.
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Aleksandra Rybacka, Christina Rudén, Igor V. Tetko & Patrik L. Andersson. (2015) Identifying potential endocrine disruptors among industrial chemicals and their metabolites – development and evaluation of in silico tools. Chemosphere 139, pages 372-378.
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Eva B. Wedebye, Marianne Dybdahl, Nikolai G. Nikolov, Svava Ó. Jónsdóttir & Jay R. Niemelä. (2015) QSAR screening of 70,983 REACH substances for genotoxic carcinogenicity, mutagenicity and developmental toxicity in the ChemScreen project. Reproductive Toxicology 55, pages 64-72.
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Yingjie Chen, Feixiong Cheng, Lu Sun, Weihua Li, Guixia Liu & Yun Tang. (2014) Computational models to predict endocrine-disrupting chemical binding with androgen or oestrogen receptors. Ecotoxicology and Environmental Safety 110, pages 280-287.
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Anna Kjerstine Rosenmai, Marianne Dybdahl, Mikael Pedersen, Barbara Medea Alice van Vugt-Lussenburg, Eva Bay Wedebye, Camilla Taxvig & Anne Marie Vinggaard. (2014) Are Structural Analogues to Bisphenol A Safe Alternatives?. Toxicological Sciences 139:1, pages 35-47.
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Marta Axelstad, Sofie Christiansen, Julie Boberg, Martin Scholze, Pernille Rosenskjold Jacobsen, Louise Krag Isling, Andreas Kortenkamp & Ulla Hass. (2014) Mixtures of endocrine-disrupting contaminants induce adverse developmental effects in preweaning rats. REPRODUCTION 147:4, pages 489-501.
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Bodil Hamborg Jensen, Annette Petersen, Sofie Christiansen, Julie Boberg, Marta Axelstad, Susan S. Herrmann, Mette Erecius Poulsen & Ulla Hass. (2013) Probabilistic assessment of the cumulative dietary exposure of the population of Denmark to endocrine disrupting pesticides. Food and Chemical Toxicology 55, pages 113-120.
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Ulla Hass, Julie Boberg, Sofie Christiansen, Pernille Rosenskjold Jacobsen, Anne Marie Vinggaard, Camilla Taxvig, Mette Erecius Poulsen, Susan Strange Herrmann, Bodil Hamborg Jensen, Annette Petersen, Line Harder Clemmensen & Marta Axelstad. (2012) Adverse effects on sexual development in rat offspring after low dose exposure to a mixture of endocrine disrupting pesticides. Reproductive Toxicology 34:2, pages 261-274.
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S. Christiansen, A. Kortenkamp, M. Axelstad, J. Boberg, M. Scholze, P. R. Jacobsen, M. Faust, W. Lichtensteiger, M. Schlumpf, A. Burdorf & U. Hass. (2012) Mixtures of endocrine disrupting contaminants modelled on human high end exposures: an exploratory study in rats. International Journal of Andrology 35:3, pages 303-316.
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