Databases for pesticide ecotoxicity

Emilio Benfenati, Elena Boriani, Marian Craciun, Ladan Malazizi, Daniel Neagu, Alessandra Roncaglioni

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter describes the databases of ecotoxicological data scrutinized for selecting appropriate sources of data. To develop successful quantitative structure-activity relationship (QSAR) models, the availability of biological data for a large number of compounds is essential. It is very important that the quality of data be high. This is a general requirement for any QSAR model, especially for maintaining a reasonable variability within the data to be modeled, avoiding an introduction of noisy data. However, in the case of models designed for their use within a regulatory perspective, it becomes important to strictly apply the same rules adopted for the production of experimental in vivo data. Thus, if the in vivo data have to be produced according to a given guideline, this rule should be adopted for the choice of data. A second requirement, which is more typical of QSAR models, is that the body of data should be as large and representative as possible to have a good basis for models to be built up.

Original languageEnglish
Title of host publicationQuantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes
Number of pages23
ISBN (Print)9780444527103
Publication statusPublished - 2007

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)


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