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Last Updated: December 6, 2007
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  1. Lee, Y., Buchanan, B.G., Mattison, D.M., Klopman, G. & Rosenkranz, H.S. (1995). Learning rules to predict rodent carcinogenicity of non-genotoxic chemicals. Mutation Research. 328, 29-46.
  2. Benfenati, E., Mazzatorta, P., Neagu, D. & Gini, G. (2002).Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach, in: F. Roli, J. Kittler, Eds. MCS2002, Multiple Classifier Systems, 293-303. Lecture notes in Computer science, vol 2364, Springler, Berlin.
  3. Benfenati, E. (Editor). (2007). Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes. Elsevier, Amsterdam, The Netherlands. 510pp.
  4. OECD. (2004).The Report from the Expert Group on (Quantitative) StructureActivity Relationships [(Q)SARs] on the Principles for the Validation of (Q)SARs. ENV/JM/TG(2004)27/REV. Organisation for Economic Cooperation and Development, Paris, France. 17pp.
  5. Distributed Structure-Searchable Toxicity (DSSTox) Public Database Network
  6. Demetra
  7. Projekt Chemomentum
  8. OpenMolGRID
  9. Benfenati, E., Gini, G., Piclin, N., Roncaglioni, A. & Varì, M.R. (2003). Predicting LOGP of pesticides using different software. Chemosphere. 53, 1155-1164.