Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Benfenati, Emilio
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; London : Elsevier, �2007.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 a 4500
001 SCIDIR_ocn162131330
003 OCoLC
005 20231117014859.0
006 m o d
007 cr cn|||||||||
008 070802s2007 ne a ob 001 0 eng d
040 |a OPELS  |b eng  |e pn  |c OPELS  |d BAKER  |d OPELS  |d OCLCQ  |d N$T  |d YDXCP  |d MERUC  |d E7B  |d IDEBK  |d OCLCQ  |d OCLCF  |d D6H  |d UAB  |d OCLCQ  |d WYU  |d EBLCP  |d NRU  |d DEBSZ  |d LEAUB  |d OL$  |d OCLCQ  |d OCLCO  |d INARC  |d OCLCO  |d OCLCQ  |d OCLCO 
019 |a 145725953  |a 441777289  |a 476050759  |a 648219094 
020 |a 9780444527103 
020 |a 0444527109 
020 |a 9780080475325  |q (electronic bk.) 
020 |a 0080475329  |q (electronic bk.) 
020 |z 9780444529497 
035 |a (OCoLC)162131330  |z (OCoLC)145725953  |z (OCoLC)441777289  |z (OCoLC)476050759  |z (OCoLC)648219094 
050 4 |a QP82.2.P4  |b Q36 2007 
070 |a SB951  |b .Q36 2007 
072 7 |a TEC  |x 010010  |2 bisacsh 
082 0 4 |a 363.7384  |2 22 
245 0 0 |a Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes /  |c edited by Emilio Benfenati. 
260 |a Amsterdam ;  |a London :  |b Elsevier,  |c �2007. 
300 |a 1 online resource (xxi, 510 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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. 
505 0 |a 1. Chapter 1. QSAR for regulatory purposes: the case for pesticide authorization -- -- 2. Chapter 2. Databases for pesticide ecotoxicity -- -- 3. Chapter 3. Characterization of chemical structures -- -- 4. Chapter 4. Algorithms for (Q)SAR models building -- -- 5. Chapter 5. Hybrid systems -- -- 6. Chapter 6. Validation of the models -- -- 7. Chapter 7. Results of the modeling step -- -- 8. Chapter 8. The quality criteria of the DEMETRA models for regulatory purposes, specificity, general lessons and future perspectives -- -- 9. Chapter 9. Use of the DEMETRA models. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
650 0 |a Pesticides  |x Structure-activity relationships. 
650 0 |a Pesticides  |x Structure-activity relationships  |x Mathematical models. 
650 0 |a Pesticides  |x Law and legislation. 
650 0 |a Pesticides  |x Risk assessment. 
650 0 |a QSAR (Biochemistry) 
650 2 |a Quantitative Structure-Activity Relationship  |0 (DNLM)D021281 
650 6 |a Pesticides  |x Relations structure-activit�e.  |0 (CaQQLa)201-0134435 
650 6 |a Pesticides  |0 (CaQQLa)201-0134435  |x Relations structure-activit�e  |0 (CaQQLa)201-0134435  |x Mod�eles math�ematiques.  |0 (CaQQLa)201-0379082 
650 6 |a Pesticides  |x �Evaluation du risque.  |0 (CaQQLa)201-0285919 
650 6 |a Relations structure-activit�e quantitatives (Biochimie)  |0 (CaQQLa)201-0379113 
650 7 |a TECHNOLOGY & ENGINEERING  |x Environmental  |x Pollution Control.  |2 bisacsh 
650 7 |a Pesticides  |x Law and legislation  |2 fast  |0 (OCoLC)fst01059061 
650 7 |a Pesticides  |x Risk assessment  |2 fast  |0 (OCoLC)fst01059075 
650 7 |a Pesticides  |x Structure-activity relationships  |2 fast  |0 (OCoLC)fst01059086 
650 7 |a QSAR (Biochemistry)  |2 fast  |0 (OCoLC)fst01084801 
700 1 |a Benfenati, Emilio. 
776 0 8 |i Print version:  |t Quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes.  |d Amsterdam ; London : Elsevier, �2007  |z 9780444527103  |z 0444527109  |w (OCoLC)77795887 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444527103  |z Texto completo