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SAR and QSAR in Environmental Research Volume 19, 2008 - Issue 1-2
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Original Articles

Decision trees versus support vector machine for classification of androgen receptor ligandsFootnote1

A. Panaye ITODYS, Université Paris 7 Denis Diderot, UMR7086 CNRS, Paris, FranceCorrespondence[email protected]
,
J.P. Doucet ITODYS, Université Paris 7 Denis Diderot, UMR7086 CNRS, Paris, France
,
J. Devillers CTIS, Rillieux la Pape, France
,
N. Marchand-Geneste Université de Bordeaux I, CNRS UMR5255, ISM-LPTC, Talence Cedex, France
&
J.M. Porcher INERIS, Parc Technologique ALATA, Verneuil en Halatte, France
Pages 129-151 | Received 05 Sep 2007, Accepted 28 Nov 2007, Published online: 04 Dec 2010

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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.P. Doucet & A. Doucet-Panaye. (2014) Structure–activity relationship study of trifluoromethylketone inhibitors of insect juvenile hormone esterase: Comparison of several classification methods. SAR and QSAR in Environmental Research 25:7, pages 589-616.
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J.P. Doucet, A. Doucet-Panaye & J. Devillers. (2013) Structure–activity relationship study of trifluoromethylketones: inhibitors of insect juvenile hormone esterase. SAR and QSAR in Environmental Research 24:6, pages 481-499.
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J. Devillers, H. Devillers, A. Decourtye & P. Aupinel. (2010) Internet resources for agent-based modelling. SAR and QSAR in Environmental Research 21:3-4, pages 337-350.
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M. Bolčič–Tavčar & M. Vračko. (2009) Assessing the reproductive toxicity of some (con)azole compounds using a structure–activity relationship approach. SAR and QSAR in Environmental Research 20:7-8, pages 711-725.
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J. Devillers & H. Devillers. (2009) Prediction of acute mammalian toxicity from QSARs and interspecies correlations. SAR and QSAR in Environmental Research 20:5-6, pages 467-500.
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Articles from other publishers (9)

Geven Piir, Sulev Sild & Uko Maran. (2021) Binary and multi-class classification for androgen receptor agonists, antagonists and binders. Chemosphere 262, pages 128313.
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Niklas Andersson, Maria Arena, Domenica Auteri, Stefania Barmaz, Elise Grignard, Aude Kienzler, Peter Lepper, Alfonso Maria Lostia, Sharon Munn, Juan Manuel Parra Morte, Francesca Pellizzato, Jose Tarazona, Andrea Terron & Sander Van der Linden. (2018) Guidance for the identification of endocrine disruptors in the context of Regulations (EU) No 528/2012 and (EC) No 1107/2009. EFSA Journal 16:6.
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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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Gonzalo A. Jaña, Eduardo J. Delgado & Fabiola E. Medina. (2014) How Important Is the Synclinal Conformation of Sulfonylureas To Explain the Inhibition of AHAS: A Theoretical Study. Journal of Chemical Information and Modeling 54:3, pages 926-932.
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Xiaolin Li, Li Ye, Wei Shi, Hongling Liu, Chunsheng Liu, Xiangping Qian, Yongliang Zhu & Hongxia Yu. (2013) In silico study on hydroxylated polychlorinated biphenyls as androgen receptor antagonists. Ecotoxicology and Environmental Safety 92, pages 258-264.
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Fabiola Medina, Sergio Aguila, Maria Camilla Baratto, Andrea Martorana, Riccardo Basosi, Joel B. Alderete & Rafael Vazquez-Duhalt. (2013) Prediction model based on decision tree analysis for laccase mediators. Enzyme and Microbial Technology 52:1, pages 68-76.
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A. K. Madan, Sanjay Bajaj & Harish Dureja. 2013. Computational Toxicology. Computational Toxicology 99 124 .
Marjana Novič & Marjan Vračko. (2010) QSAR Models for Reproductive Toxicity and Endocrine Disruption Activity. Molecules 15:3, pages 1987-1999.
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. (2009) Current World Literature. Current Opinion in Endocrinology, Diabetes & Obesity 16:3, pages 260-277.
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