Computational Toxicology

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  • Author : Bruce A. Fowler
  • Publisher : Academic Press
  • Pages : 274 pages
  • ISBN : 012396508X
  • Rating : /5 from reviews
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Download or Read online Computational Toxicology full in PDF, ePub and kindle. this book written by Bruce A. Fowler and published by Academic Press which was released on 04 June 2013 with total page 274 pages. We cannot guarantee that Computational Toxicology book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided in this book are based on cutting-edge technologies and set out to stimulate the further development of this promising field to offer rapid, better and more cost-effective answers to major public health concerns. Authored by leading international researchers engaged in cutting-edge applications of computational methods for translating complex toxicological data sets into useful risk assessment information Incorporates real-world examples of how computational toxicological methods have been applied to advance the science of risk assessment Provides the framework necessary for new technologies and fosters common vocabularies and principles upon which the effects of new chemical entities should be compared

Computational Toxicology

Computational Toxicology
  • Author : Bruce A. Fowler
  • Publisher : Academic Press
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

Computational Toxicology: Methods and Applications for Risk Assessment is an essential reference on the translation of computational toxicology data into information that can be used for more informed risk assessment decision-making. This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment. Key topics of interest include QSAR modeling, chemical mixtures, applications to metabolomic and metabonomic data sets, toxicogenomic analyses, applications to REACH informational strategies and much more. The examples provided

Computational Toxicology

Computational Toxicology
  • Author : Brad Reisfeld,Arthur N. Mayeno
  • Publisher : Humana Press
  • Release : 01 May 2016
GET THIS BOOK Computational Toxicology

This resource features essential background, context, examples, useful tips, and an overview of current developments in the field. It includes cutting-edge methods and protocols as well as implementation advice from the experts.

Computational Toxicology

Computational Toxicology
  • Author : Brad Reisfeld,Arthur N. Mayeno
  • Publisher : Humana Press
  • Release : 23 August 2016
GET THIS BOOK Computational Toxicology

Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to increasing the efficiency and effectiveness of risk assessment for environmental chemicals. Computational Toxicology provides biomedical and quantitative scientists with essential background, context, examples, useful tips, and an overview of current developments in the field. Divided into four sections, Volume I covers

Computational Toxicology

Computational Toxicology
  • Author : Orazio Nicolotti
  • Publisher : Humana
  • Release : 10 December 2019
GET THIS BOOK Computational Toxicology

This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply with both scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists

Advances in Computational Toxicology

Advances in Computational Toxicology
  • Author : Huixiao Hong
  • Publisher : Springer
  • Release : 21 May 2019
GET THIS BOOK 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

Computational Toxicology

Computational Toxicology
  • Author : Sean Ekins
  • Publisher : John Wiley & Sons
  • Release : 13 February 2018
GET THIS BOOK Computational Toxicology

A key resource for toxicologists across a broad spectrum of fields, this book offers a comprehensive analysis of molecular modelling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals. • Provides a perspective of what is currently achievable with computational toxicology and a view to future developments • Helps readers overcome questions of data sources, curation, treatment, and how to model / interpret critical endpoints that support 21st century hazard assessment • Assembles cutting-edge concepts and leading authors into a unique

Computational Toxicology

Computational Toxicology
  • Author : Bruce A. Fowler
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

This book is intended to be an introduction to various applications of computational toxicology and to show how these approaches are currently being used effectively for risk assessment purposes in the near term. It is important to note that the field of computational toxicology is rapidly evolving and that subsequent editions of this book will take up new methods that are currently under development, such as high-throughput screening, and others that are still in a conceptual stage. There are many

Computational Toxicology

Computational Toxicology
  • Author : Bruce A. Fowler
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

As in many fields of scientific endeavor, computational toxicology represents a broad and expanding group of activities. This chapter attempts to summarize ongoing efforts for a number of computational approaches and suggest ways in which these methods could be applied effectively for improving risk assessment practice going forward in time. Generic issues include QA/QC of data used for computational modeling, graduate education programs for training the next generation of computational modelers with a common language among themselves, and the

Computational Toxicology

Computational Toxicology
  • Author : Patricia Ruiz,Xiaoxia Yang,Annie Lumen,Jeff Fisher
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

Human health risk assessment is “the process to estimate the nature and probability of adverse health effects in humans who may be exposed to chemicals in contaminated environmental media, now or in the future.” Currently, most data required for human risk assessment are derived from toxicological studies conducted in laboratory animals. The “Toxicology in the 21st Century” initiative expands the toxicity testing tools to include the development of alternative toxicity testing methods that examine pathways of toxicity (on a large

Computational Toxicology

Computational Toxicology
  • Author : William Mendez,Bruce A. Fowler
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

The focus of the chapter is on the development and application of computational toxicology methods to human risk assessment. The various CompTox methods are defined, and a brief history of their development and applications in risk assessment is provided. The technological, economic, and public health concerns driving the development of the methods are described, along with how the specific forces shaped the historical and current use of CompTox methods in risk assessment. Translation research programs in the United States and

Computational Toxicology

Computational Toxicology
  • Author : Sean Ekins
  • Publisher : John Wiley & Sons
  • Release : 27 July 2007
GET THIS BOOK Computational Toxicology

A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-based tools utilizing X-ray crystal structures or homology, receptor, pharmacophore, and quantitative structure activity relationship (QSAR) models of human proteins. It covers the in vitro models used, newer technologies, and regulatory aspects. The book offers a complete systems perspective to risk assessment prediction, discussing

Computational Toxicology

Computational Toxicology
  • Author : Nigel Greene,Mark Gosink
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

The costs of developing new drugs continue to rise while public and governmental expectations demand safer drugs. This demand for safer drugs can also significantly delay the time it takes to reach the market, as screening for drug safety can be a time-consuming process. In order to reduce costs and timelines while increasing safety, pharmaceutical firms have incorporated predictive methodologies to identify potential safety issues before a new drug is given to patients or even before a compound is tested

Computational Toxicology

Computational Toxicology
  • Author : Luis G. Valerio
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

The remarkable advances of high-performance computing to facilitate and increase efficiency in helping to resolve or support assessments on the toxic effects of chemicals on tissues and genomic material have led to development of novel in silico methods. These methods can support risk assessment via integration of study data that can be translated into meaningful predictive information. This chapter describes some methods in computational toxicology and how to integrate experimental data with computational assessments for supporting risk assessment.

Computational Toxicology

Computational Toxicology
  • Author : Isaac Warren,Eftim Sorina
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

New and emerging high-throughput toxicology and human exposure data sets offer great promise to expand or reshape the process of chemical risk assessment. While the methods to mine new computational toxicology data and assess its predictive power and compatibility with more traditional toxicology data are still under development, this chapter presents publicly available data sets that can be mined to support risk assessment. Risk assessors are faced with adapting to toxicity testing in the 21st century and soon may be

Computational Toxicology

Computational Toxicology
  • Author : Kalyanasundaram Subramanian
  • Publisher : Elsevier Inc. Chapters
  • Release : 04 June 2013
GET THIS BOOK Computational Toxicology

Liver injury is the most common cause of post-marketing drug withdrawal. Predicting toxicity observed in the clinic, especially idiosyncratic toxicity, is extremely challenging. In this chapter we developed a predictive system that integrates different data types and provides insight into the mechanisms of drug-induced liver injury. This is a dynamic systems approach based on the mathematical modeling of the kinetics of metabolic pathways involved in liver homeostasis. Drug-induced perturbations to this homeostasis that lead to toxicity can be measured by