Quantitative StructureActivity Relationship QSAR for Pesticide RegulatoryPurposes stems from the experience of the EC funded project DEMETRA. Thisproject combin... » 

Quantitative StructureActivity Relationship QSAR for Pesticide RegulatoryPurposes stems from the experience of the EC funded project DEMETRA. Thisproject combined institutes involved in the regulatory process of pesticidesindustries of the sector and scientists to develop and offer original softwarefor the prediction of ecotoxicity of pesticides. Then to be used within thedossier preparation for pesticide registration. The basis of this book is morethan threeyears of research activities discussions studies and successfulmodels. This experience represents a useful example not only for the case ofpesticides but also for the prediction of ecotoxicity and toxicity in general.QSAR is used to link a given property of a chemical compound with some featuresrelated to its structure. The theoretical toxicological chemical andinformation technology aspects will be treated considering the regulatoryissues. Innovative hybrid systems will be described for the toxicityprediction of pesticides and related compounds directly useful for pesticideevaluation within the Dossier preparation for pesticide registration. Fiveendpoints will also be discussed addressing issues as standardisationverification validation accessibility reproducibility.The driving force for Quantitative StructureActivity Relationship QSAR forPesticide Regulatory Purposes is that all the issues of concern for endusersare analysed discussed and solutions proposed further. An innovative featureis that in order to offer powerful QSAR models the book discusses and reportson integrated QSAR models combined into a unique hybrid system. Assesses the needs of regulators for pesticideapproval and how these needsaffect QSAR models Combines theoretical discussion with practical examples including fiveworked examples of hybrid systems Refers to original software available through the internet «