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Author: Mark T. D. Cronin Publisher: Royal Society of Chemistry ISBN: 1849733848 Category : Science Languages : en Pages : 207
Book Description
The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. The book will provide concise practical guidance for those wishing to apply these methods (in risk / hazard assessment) and will be illustrated with case studies. Chemical Toxicity Prediction is the first book that addresses the concept of category formation and read-across for toxicity prediction specifically. This topic has really taken off in the past few years due to concerns over dealing with the REACH legislation and also due to the availability of the OECD (Q)SAR Toolbox. Much (lengthy and complex) guidance is available on category formation e.g. from the OECD and, to a lesser extent, the European Chemicals Agency but there is no one single source of information that covers all techniques in a concise user-friendly format. There is a real need for this information as in silico toxicology has come to the fore in recent years, primarily as a result of the EU REACH legislation, but also due to many other drivers e.g. reduction of animal testing, Cosmetics regulation. Category formation is seen as the only practical approach to make rational and transparent predictions for complex (human) toxicological endpoints. The book covers all the areas required to create a robust category and perform read-across.
Author: Mark T. D. Cronin Publisher: Royal Society of Chemistry ISBN: 1849733848 Category : Science Languages : en Pages : 207
Book Description
The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. The book will provide concise practical guidance for those wishing to apply these methods (in risk / hazard assessment) and will be illustrated with case studies. Chemical Toxicity Prediction is the first book that addresses the concept of category formation and read-across for toxicity prediction specifically. This topic has really taken off in the past few years due to concerns over dealing with the REACH legislation and also due to the availability of the OECD (Q)SAR Toolbox. Much (lengthy and complex) guidance is available on category formation e.g. from the OECD and, to a lesser extent, the European Chemicals Agency but there is no one single source of information that covers all techniques in a concise user-friendly format. There is a real need for this information as in silico toxicology has come to the fore in recent years, primarily as a result of the EU REACH legislation, but also due to many other drivers e.g. reduction of animal testing, Cosmetics regulation. Category formation is seen as the only practical approach to make rational and transparent predictions for complex (human) toxicological endpoints. The book covers all the areas required to create a robust category and perform read-across.
Author: Mark T. D. Cronin Publisher: ISBN: 9781680158144 Category : Chemical models Languages : en Pages : 0
Book Description
The aim of this book is to provide the scientific background to using the formation of chemical categories, or groups, of molecules to allow for read-across i.e. the prediction of toxicity from chemical structure. It covers the scientific basis for this approach to toxicity prediction including the methods to group compounds (structural analogues and / or similarity, mechanism of action) and the tools to achieve this. The approaches to perform read-across within a chemical category are also described. The book will provide concise practical guidance for those wishing to apply these methods (in risk / hazard assessment) and will be illustrated with case studies. This is the first book that addresses the concept of category formation and read-across for toxicity prediction specifically. This topic has really taken off in the past few years due to concerns over dealing with the REACH legislation and also due to the availability of the OECD (Q)SAR Toolbox. Much (lengthy and complex) guidance is available on category formation e.g. from the OECD and, to a lesser extent, the European Chemicals Agency but there is no one single source of information that covers all techniques in a concise user-friendly format.
Author: Mark T.D. Cronin Publisher: CRC Press ISBN: 9780203642627 Category : Science Languages : en Pages : 474
Book Description
Quantitative Structure-Activity Relationships (QSARs) are increasingly used to predict the harmful effects of chemicals to humans and the environment. The increased use of these methods in a variety of areas (academic, industrial, regulatory) results from a realization that very little toxicological or fate data is available on the vast amount of chemicals to which humans and the environment are exposed. Predicting Chemical Toxicity and Fate provides a comprehensive explanation of the state-of-the-art methods that are available to predict the effects of chemicals on humans and the environment. It describes the use of predictive methods to estimate the physiochemical properties, biological activities, and fate of chemicals. The methods described may be used to predict the properties of drugs before their development, and to predict the environmental effects of chemicals. These methods also reduce the cost of product development and the need for animal testing. This book fills an obvious need by providing a comprehensive explanation of these prediction methods. It is a practical book that illustrates the use of these techniques in real life scenarios. This book will demystify QSARs for those students unsure of them, and professionals in environmental toxicology and chemistry will find this a useful reference in their everyday working lives.
Author: Publisher: ISBN: Category : Languages : en Pages : 38
Book Description
This report results from a contract tasking Lhasa Limited as follows. The contractor will investigate techniques to apply computational methodologies and biotechnology database information to predicting the possible toxicity of chemicals. The goal is to combine available information on chemical structures and biotoxicity to predict toxicity of a chemical from its structure. Routes of entry into the body, organs and systems affected, biological half life, modes of inactivation, and dose-response relationships will be part of the prediction. In addition, the contractor's system will provide "missing data" flags. As such, the system will indicate what information, if provided, would allow a more accurate prediction to be established. The method can be used to predict effects of foreseeable industrial and environmental chemicals as well as unforeseen exposures during military operations.
Author: Mark T. D. Cronin Publisher: Royal Society of Chemistry ISBN: 1849730040 Category : Medical Languages : en Pages : 689
Book Description
This book defines the use of computational approaches to predict the environmental toxicity and human health effects of organic chemicals.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309376696 Category : Nature Languages : en Pages : 134
Book Description
The US Department of Defense (DOD) is faced with an overwhelming task in evaluating chemicals that could potentially pose a threat to its deployed personnel. There are over 84,000 registered chemicals, and testing them with traditional toxicity-testing methods is not feasible in terms of time or money. In recent years, there has been a concerted effort to develop new approaches to toxicity testing that incorporate advances in systems biology, toxicogenomics, bioinformatics, and computational toxicology. Given the advances, DOD asked the National Research Council to determine how DOD could use modern approaches for predicting chemical toxicity in its efforts to prevent debilitating, acute exposures to deployed personnel. This report provides an overall conceptual approach that DOD could use to develop a predictive toxicology system. Application of Modern Toxicology Approaches for Predicting Acute Toxicity for Chemical Defense reviews the current state of computational and high-throughput approaches for predicting acute toxicity and suggests methods for integrating data and predictions. This report concludes with lessons learned from current high-throughput screening programs and suggests some initial steps for DOD investment.
Author: Alan G. E. Wilson Publisher: Royal Society of Chemistry ISBN: 1849730512 Category : Medical Languages : en Pages : 711
Book Description
The sophistication of modelling and simulation technologies have improved dramatically over the past decade and their applications in toxicity prediction and risk assessment are of critical importance. The integration of predictive toxicology approaches will become increasingly necessary as industrial chemicals advance and as new pharmaceuticals enter the market. In this comprehensive discussion of predictive toxicology and its applications, leading experts express their views on the technologies currently available and the potential for future developments. The book covers a wide range of topics including in silico, in vitro and in vivo approaches that are being used in the safety assessment of chemical substances. It reflects the growing and urgent need to strengthen and improve our ability to predict the safety and risks posed by industrial and pharmaceutical chemicals in humans. The reader will find extensive information on the use of current animal models used for various toxicities and target mediated toxicities. Also discussed are the recent regulatory initiatives to improve the safety assessment of chemicals. The book provides an expert and comprehensive discussion on the current status and future directions of predictive toxicology and its application. The various chapters in the book also reflect the growing need for improvements in our technologies and abilities to predict toxicities of pharmaceutical and industrial chemicals to ensure product safety and protect public health.
Author: Christoph Helma Publisher: CRC Press ISBN: 9780824723972 Category : Medical Languages : en Pages : 520
Book Description
A comprehensive overview of techniques and systems currently utilized in predictive toxicology, this reference presents an in-depth survey of strategies to characterize chemical structures and biological systems—covering prediction methods and algorithms, sources of high-quality toxicity data, the most important commercial and noncommercial predictive toxicology programs, and advanced technologies in computational chemistry and biology, statistics, and data mining.
Author: Mark T. D. Cronin
Author: Mark T. D. Cronin
Author: Mark T. D. Cronin
Author: Mark T.D. Cronin
Author: 
Author: Mark T. D. Cronin
Author: National Academies of Sciences, Engineering, and Medicine
Author: Alan G. E. Wilson
Author: Christoph Helma
Author: Ping Gong
Author: Jaffar Kisitu