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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 Cronin Publisher: Royal Society of Chemistry ISBN: 1849734402 Category : Science Languages : en Pages : 288
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. Chemical Toxicity Prediction provides 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: 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: 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: Li Di Publisher: Elsevier ISBN: 0080557619 Category : Science Languages : en Pages : 549
Book Description
Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. Serves as an essential working handbook aimed at scientists and students in medicinal chemistry Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies Discusses improvements in pharmacokinetics from a practical chemist's standpoint
Author: Kunal Roy Publisher: John Wiley & Sons ISBN: 1119681596 Category : Science Languages : de Pages : 596
Book Description
CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms. You’ll learn about a variety of aquatic toxicity databases and chemometric software tools and webservers as well as practical examples of model development, including illustrations. You’ll also find case studies and literature reports to round out your understanding of the subject. Finally, you’ll learn about tools and protocols including machine learning, data mining, and QSAR and ligand-based chemical design methods. Readers will also benefit from the inclusion of: A thorough introduction to chemometric and cheminformatic tools and techniques, including machine learning and data mining An exploration of aquatic toxicity databases, chemometric software tools, and webservers Practical examples and case studies to highlight and illustrate the concepts contained within the book A concise treatment of chemometric and cheminformatic tools and their application to the analysis and modeling of toxicity data Perfect for researchers and students in chemistry and the environmental and pharmaceutical sciences, Chemometrics and Cheminformatics in Aquatic Toxicology will also earn a place in the libraries of professionals in the chemical industry and regulators whose work involves chemometrics.
Author: Daniel Neagu Publisher: Royal Society of Chemistry ISBN: 1839160829 Category : Medical Languages : en Pages : 289
Book Description
The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
Author: Cornelis A. M. van Gestel Publisher: CRC Press ISBN: 9781439830093 Category : Medical Languages : en Pages : 320
Book Description
In the last decade and a half, great progress has been made in the development of concepts and models for mixture toxicity, both in human and environmental toxicology. However, due to their different protection goals, developments have often progressed in parallel but with little integration. Arguably the first book to clearly link ecotoxicology and classic human toxicology, Mixture Toxicity: Linking Approaches from Ecological and Human Toxicology incorporates extensive reviews of exposure to toxicants, toxicokinetics and toxicodynamics, toxicity of mixtures, and risk assessment. The book examines developments in both fields, compares and contrasts their current state of the art, and identifies where one field can learn from the other. Each chapter provides an essential overview of the state of the art in both human and ecotoxicological mixture risk assessment, focusing on the work published in the last fifteen years. The coverage progresses from exposure to risk assessment, at each step identifying the special complications typically raised by mixtures. Based on in-depth discussions among specialists representing different disciplines and approaches, the chapters each address: Exposure — how to quantify the amounts of chemicals that may enter the living organism Kinetics, dynamics, and metabolism — how the chemicals enter an organism, travel within the organism, how they are metabolized and reach the target site, and explain development of toxicity with time Toxicity — what are the chemicals’ detrimental effects on the organism Test design and complex mixture characterization — how chemicals interact, how to measure effects of mixtures, and how to identify responsible chemicals Risk assessment — how to assess for risks in humans and the environment An unusual combination of different points of view on exposure to and risk assessment of chemical mixtures, this book summarizes current knowledge on combined effects of toxicant mixtures, information that is generally only available in a very fragmented form as individual journal papers. It identifies possible crosslinks and includes recommendations for mutual developments that can improve the state of knowledge on mixture toxicity and ultimately lead to better and more integrated risk assessment.
Author: Andrew G. Mtewa Publisher: John Wiley & Sons ISBN: 1119650232 Category : Science Languages : en Pages : 444
Book Description
Focusing on phytochemicals and their potential for drug discovery, this book offers a comprehensive resource on poisonous plants and their applications in chemistry and in pharmacology. Provides a comprehensive resource on phytotoxins, covering historical perspectives, modern applications, and their potential in drug discovery Covers the mechanisms, benefits, risks and management protocols of phytotoxins in a scientific laboratory and the usefulness in drug discovery Presents chapters in a carefully designed, clear order, making it an ideal resource for the academic researcher or the industry professional at any stage in their career
Author: Mark T. D. Cronin
Author: Mark T. D. Cronin
Author: Mark Cronin
Author: Mark T.D. Cronin
Author: Mark T. D. Cronin
Author: Mark T. D. Cronin
Author: Li Di
Author: Kunal Roy
Author: Daniel Neagu
Author: Cornelis A. M. van Gestel
Author: Andrew G. Mtewa