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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes (Hardcover)
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Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes (Hardcover)
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Quantitative Structure-Activity Relationship (QSAR) for Pesticide
Regulatory Purposes stems from the experience of the EC funded
project DEMETRA. This project combined institutes involved in the
regulatory process of pesticides, industries of the sector and
scientists to develop and offer original software for the
prediction of ecotoxicity of pesticides. Then to be used within the
dossier preparation for pesticide registration. The basis of this
book is more than three-years of research activities, discussions,
studies and successful models. This experience represents a useful
example not only for the case of pesticides, 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 features related to its structure. The theoretical
toxicological, chemical and information technology aspects will be
treated considering the regulatory issues. Innovative hybrid
systems will be described, for the toxicity prediction of
pesticides and related compounds, directly useful for pesticide
evaluation within the Dossier preparation for pesticide
registration. Five endpoints will also be discussed, addressing
issues as standardisation, verification, validation, accessibility,
reproducibility.
The driving force for Quantitative Structure-Activity Relationship
(QSAR) for Pesticide Regulatory Purposes is that all the issues of
concern for end-users are analysed, discussed and solutions
proposed further. An innovative feature is that, in order to offer
powerful QSAR models, the book discusses and reports on integrated
QSAR models, combined into a unique hybrid system.
* Assesses the needs of regulators for pesticide approval and how
these needs affect QSAR models
* Combines theoretical discussion with practical examples,
including five worked examples of hybrid systems
* Refers to original software available through the internet
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