Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes:
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 s...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam London
Elsevier
© 2007
|
| Schlagworte: | |
| Online-Zugang: | DE-860 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 online resource (xxi, 510 pages) illustrations |
| ISBN: | 9780444527103 0444527109 9780080475325 0080475329 |
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| 520 | |a 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 | ||
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Environmental / Pollution Control |2 bisacsh | |
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| 650 | 7 | |a Pesticides / Structure-activity relationships |2 fast | |
| 650 | 7 | |a QSAR (Biochemistry) |2 fast | |
| 650 | 4 | |a Pesticides |x Structure-activity relationships | |
| 650 | 4 | |a Pesticides |x Structure-activity relationships |x Mathematical models | |
| 650 | 4 | |a Pesticides |x Law and legislation | |
| 650 | 4 | |a Pesticides |x Risk assessment | |
| 650 | 4 | |a QSAR (Biochemistry) | |
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Datensatz im Suchindex
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| dewey-full | 363.7384 |
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| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.7384 |
| dewey-search | 363.7384 |
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| discipline | Geologie / Paläontologie Soziologie |
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| id | DE-604.BV046123654 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T04:07:56Z |
| institution | BVB |
| isbn | 9780444527103 0444527109 9780080475325 0080475329 |
| language | English |
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| oclc_num | 162131330 |
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| physical | 1 online resource (xxi, 510 pages) illustrations |
| psigel | ZDB-33-ESD ZDB-33-ESD FLA_PDA_ESD |
| publishDate | 2007 |
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| spelling | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes edited by Emilio Benfenati Amsterdam London Elsevier © 2007 1 online resource (xxi, 510 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Pesticides / Law and legislation fast Pesticides / Risk assessment fast Pesticides / Structure-activity relationships fast QSAR (Biochemistry) fast Pesticides Structure-activity relationships Pesticides Structure-activity relationships Mathematical models Pesticides Law and legislation Pesticides Risk assessment QSAR (Biochemistry) Nichtlineares System (DE-588)4042110-7 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf Nichtlineares System (DE-588)4042110-7 s Mathematisches Modell (DE-588)4114528-8 s Numerisches Verfahren (DE-588)4128130-5 s DE-604 Benfenati, Emilio Sonstige oth Erscheint auch als Druck-Ausgabe 9780444529497 http://www.sciencedirect.com/science/book/9780444527103 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Pesticides / Law and legislation fast Pesticides / Risk assessment fast Pesticides / Structure-activity relationships fast QSAR (Biochemistry) fast Pesticides Structure-activity relationships Pesticides Structure-activity relationships Mathematical models Pesticides Law and legislation Pesticides Risk assessment QSAR (Biochemistry) Nichtlineares System (DE-588)4042110-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| subject_GND | (DE-588)4042110-7 (DE-588)4114528-8 (DE-588)4128130-5 |
| title | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes |
| title_auth | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes |
| title_exact_search | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes |
| title_full | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes edited by Emilio Benfenati |
| title_fullStr | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes edited by Emilio Benfenati |
| title_full_unstemmed | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes edited by Emilio Benfenati |
| title_short | Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes |
| title_sort | quantitative structure activity relationships qsar for pesticide regulatory purposes |
| topic | TECHNOLOGY & ENGINEERING / Environmental / Pollution Control bisacsh Pesticides / Law and legislation fast Pesticides / Risk assessment fast Pesticides / Structure-activity relationships fast QSAR (Biochemistry) fast Pesticides Structure-activity relationships Pesticides Structure-activity relationships Mathematical models Pesticides Law and legislation Pesticides Risk assessment QSAR (Biochemistry) Nichtlineares System (DE-588)4042110-7 gnd Mathematisches Modell (DE-588)4114528-8 gnd Numerisches Verfahren (DE-588)4128130-5 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Environmental / Pollution Control Pesticides / Law and legislation Pesticides / Risk assessment Pesticides / Structure-activity relationships QSAR (Biochemistry) Pesticides Structure-activity relationships Pesticides Structure-activity relationships Mathematical models Pesticides Law and legislation Pesticides Risk assessment Nichtlineares System Mathematisches Modell Numerisches Verfahren |
| url | http://www.sciencedirect.com/science/book/9780444527103 |
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