Advances In Computational Toxicology
Download Advances In Computational Toxicology PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advances In Computational Toxicology book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Advances in Computational Toxicology
This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.
New Horizons in Predictive Toxicology
Author: Alan G. E. Wilson
language: en
Publisher: Royal Society of Chemistry
Release Date: 2012
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.
Application of Computational Techniques in Pharmacy and Medicine
The proposed volume provides both fundamental and detailed information about the computational and computational-experimental studies which improve our knowledge of how leaving matter functions, the different properties of drugs (including the calculation and the design of new ones), and the creation of completely new ways of treating numerical diseases. Whenever it is possible, the interplay between theory and experiment is provided. The book features computational techniques such as quantum-chemical and molecular dynamic approaches and quantitative structure–activity relationships. The initial chapters describe the state-of-the art research on the computational investigations in molecular biology, molecular pharmacy, and molecular medicine performed with the use of pure quantum-chemical techniques. The central part of the book illustrates the status of computational techniques that utilize hybrid, so called QM/MM approximations as well as the results of the QSAR studies which now are the most popular in predicting drugs’ efficiency. The last chapters describe combined computational and experimental investigations.