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In Silico Toxicology
This book defines the use of computational approaches to predict the environmental toxicity and human health effects of organic chemicals.
Predicting Chemical Toxicity and Fate
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 ac...
Chemical Toxicity Prediction
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 i...
Big Data in Predictive Toxicology
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.
New Horizons in Predictive Toxicology
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 assessmen...
Recent Advances in QSAR Studies
This book presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part consists of a comprehensive review of QSAR methodology. The second part highlights the interdisciplinary aspects and new areas of QSAR modelling.
Dermal Absorption Models in Toxicology and Pharmacology
Many experimental methods and mathematical modeling approaches rooted in disciplines outside of toxicology can be effectively applied to estimating dermal absorption. Dermal Absorption Models in Toxicology and Pharmacology explores current approaches and techniques that can be used to quantify dermal absorption with endpoints useful in both toxicology and pharmacology. The book begins with a review of basic principles and the in vitro and in vivo experimental approaches available for assessing dermal absorption of drugs and chemicals. This is followed by coverage of mathematical or in silico models for quantitating percutaneous absorption and the applications of these techniques to the risk ...
Dermal Absorption and Toxicity Assessment
The source Dermal Absorption and Toxicity Assessment supplies a state-of-the-art overview of the dermal absorption process, and is divided into six well organized sections. Written by internationally recognized experts in the field, this Second Edition is a complete revised and updated text, covering the wide range of methods used to assess skin ab
Smith and Williams' Introduction to the Principles of Drug Design and Action
Advances in knowledge and technology have revolutionized the process of drug development, making it possible to design drugs for a given target or disease. Building on the foundation laid by the previous three editions, Smith and Williams Introduction to the Principles of Drug Design and Action, Fourth Edition includes the latest informatio
