Benigni | Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens | E-Book | sack.de
E-Book

E-Book, Englisch, 304 Seiten

Benigni Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens

E-Book, Englisch, 304 Seiten

ISBN: 978-0-203-01082-2
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Applied with success in a number of areas, QSAR studies have become particularly popular in the rational design of drugs and pesticides. Much has been published on the principles of QSAR in this area, but not on their application s to toxic chemicals.
This book provides the first comprehensive, interdisciplinary presentation of QSAR studies on chemical mutagens and carcinogens. It synthesizes the body of knowledge and recent advances in this rapidly emerging field through the contributions of leading experts from around the world.

Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens focuses on the use of QSAR modeling in predicting and designing compounds for synthesis and testing of cancer drugs. The authors clearly show how QSAR can contribute to the elucidation of mechanisms, to identifying toxic chemicals solely by their chemical structure, and to the design of safer chemicals. The contents include a general introduction to QSAR theory and extensive reviews of virtually all existing QSAR models.
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Zielgruppe


Medicinal chemists, Theoretical and computational chemists and biochemists, Scientists in regulatory bodies, Cancer researchers, Toxicologists


Autoren/Hrsg.


Weitere Infos & Material


General Introduction to QSAR
R. Franke and A. Gruska

Mechanisms of Action of Chemical Carcinogens and their Role in Structure-Activity Relationships (SAR) Analysis and Risk Assessment
Yin-Tak Woo and David Y. Lai

QSARs for Individual Classes of Chemical Mutagens and Carcinogens
L. Passerini

QSARs for the Mutagenicity and Carcinogenicity of the Aromatic Amines
R. Benigni, A. Giuliani, A. Gruska, R. Franke

Public Sources of Mutagenicity and Carcinogenicity Data: Use in Structure-Activity Relationship Models
A. M. Richard and C. R. Williams

SAR in the Assessment of Carcinogenesis: the MultiCASE Approach
H.S. Rosenkranz

Predicting Mutagenicity of Congeneric and Diverse Sets of Chemicals Using Computed Molecular Descriptors: A Hierarchical Approach
S.C.Basak, D. Mills, B.D. Gute, D. M. Hawkins

Quantitative Structure-Activity Relationships for Acute Aquatic Toxicity: the Role of Mechanisms of Toxic Action in Successful Modelling
M T.D. Cronin

SARs and QSARs of Mutagens and Carcinogens: Understanding Action Mechanisms And Improving Risk Assessment
R. Benigni


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