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Original Articles

A General QSAR Model for Predicting the Toxicity of Organic Chemicals to Luminescent Bacteria (Microtox® test)

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Pages 29-38 | Received 17 Sep 1994, Accepted 22 Mar 1995, Published online: 24 Sep 2006

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Read on this site (9)

J. Devillers, E. Mombelli & R. Samserà. (2011) Structural alerts for estimating the carcinogenicity of pesticides and biocides. SAR and QSAR in Environmental Research 22:1-2, pages 89-106.
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J.C. Dearden, M.T.D. Cronin & K.L.E. Kaiser. (2009) How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR). SAR and QSAR in Environmental Research 20:3-4, pages 241-266.
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J. Devillers. (2005) A new strategy for using supervised artificial neural networks in QSAR. SAR and QSAR in Environmental Research 16:5, pages 433-442.
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J. Devillers, A. Chezeau & E. Thybaud. (2002) PLS-QSAR of the adult and developmental toxicity of chemicals to Hydra attenuata. SAR and QSAR in Environmental Research 13:7-8, pages 705-712.
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J. Devillers. (2001) QSAR Modeling of Large Heterogeneous Sets of Molecules. SAR and QSAR in Environmental Research 12:6, pages 515-528.
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J. Devillers & J. Flatin. (2000) A General QSAR Model for Predicting the Acute Toxicity of Pesticides to Oncorhynchus mykiss . SAR and QSAR in Environmental Research 11:1, pages 25-43.
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J. Devillers & D. Domine. (1999) A Noncongeneric Model for Predicting Toxicity of Organic Molecules to Vibrio Fischeri . SAR and QSAR in Environmental Research 10:1, pages 61-70.
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J. Devillers, D. Domine, C. Guillon, S. Bintein & W. Karcher. (1997) Prediction of Partition Coefficients (LOG P oct) Using Autocorrelation Descriptors. SAR and QSAR in Environmental Research 7:1-4, pages 151-172.
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Articles from other publishers (16)

Igor I. Baskin. 2018. Computational Toxicology. Computational Toxicology 119 139 .
Mi-Jung Bae & Young-Seuk Park. (2014) Biological early warning system based on the responses of aquatic organisms to disturbances: A review. Science of The Total Environment 466-467, pages 635-649.
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James Devillers. 2013. Computational Toxicology. Computational Toxicology 3 27 .
James Devillers. 2009. Ecotoxicology Modeling. Ecotoxicology Modeling 1 28 .
James Devillers. 2009. Artificial Neural Networks. Artificial Neural Networks 59 77 .
Klaus L. E. Kaiser. (2003) Neural networks for effect prediction in environmental and health issues using large datasets. QSAR & Combinatorial Science 22:2, pages 185-190.
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Klaus L.E. Kaiser. (2003) The use of neural networks in QSARs for acute aquatic toxicological endpoints. Journal of Molecular Structure: THEOCHEM 622:1-2, pages 85-95.
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Stefan P Niculescu. (2003) Artificial neural networks and genetic algorithms in QSAR. Journal of Molecular Structure: THEOCHEM 622:1-2, pages 71-83.
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James Devillers. 2003. Nature-insprired Methods in Chemometrics: Genetic Algorithms and Artificial Neural Networks. Nature-insprired Methods in Chemometrics: Genetic Algorithms and Artificial Neural Networks 323 339 .
Rainer Brüggemann, Gunnar Nützmann, Joachim Altschuh, Herwart Behrendt & Stefan Sixt. 2002. Systemtheorie und Modellierung von Ökosystemen. Systemtheorie und Modellierung von Ökosystemen 124 135 .
James Devillers, Daniel Domine & Cécile Guillon. (1998) Autocorrelation modeling of lipophilicity with a back-propagation neural network. European Journal of Medicinal Chemistry 33:7-8, pages 659-664.
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Luděk Bláha, Jiří Damborský & Miroslav Němec. (1998) QSAR for acute toxicity of saturated and unsaturated halogenated aliphatic compounds. Chemosphere 36:6, pages 1345-1365.
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J. Devillers, C. Guillon & D. Domine. 1996. Neural Networks in QSAR and Drug Design. Neural Networks in QSAR and Drug Design 97 117 .
J. Devillers, D. Domine & R.S. Boethling. 1996. Neural Networks in QSAR and Drug Design. Neural Networks in QSAR and Drug Design 65 82 .
D. Domine, J. Devillers & W. Karcher. 1996. Neural Networks in QSAR and Drug Design. Neural Networks in QSAR and Drug Design 47 63 .
J. Devillers. 1996. Neural Networks in QSAR and Drug Design. Neural Networks in QSAR and Drug Design 1 46 .

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