Novel Approaches in Predicting Chemical Toxicity Using Computational Methods PDF Download
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Author: Jaffar Kisitu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Jaffar Kisitu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309376696
Category : Nature
Languages : en
Pages : 196
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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:
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
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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
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Book Description
This book defines the use of computational approaches to predict the environmental toxicity and human health effects of organic chemicals.
Author: Brad Reisfeld
Publisher: Humana Press
ISBN: 9781493963263
Category : Computers
Languages : en
Pages : 662
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Book Description
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.
Author: Mark Cronin
Publisher: Royal Society of Chemistry
ISBN: 1849734402
Category : Science
Languages : en
Pages : 207
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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 Cronin
Publisher: Royal Society of Chemistry
ISBN: 1849732094
Category : Medical
Languages : en
Pages : 689
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Book Description
In Silico methods to predict toxicity have become increasingly important recently, particularly in light of European legislation such as REACH and the Cosmetics Regulation. They are also being used extensively worldwide e.g. in the USA, Canada, Japan and Australia. In assessing the risk that a chemical may pose to human health or to the environment, focus is now being directed towards exploitation of in silico methods to replace in vivo or in vitro techniques. A prediction of potential toxicity requires several stages: 1) Collation and organisation of data available for the compound, or if this is not available, information for related compounds. 2) An assessment of the quality of the data. 3) Generation of additional information about the compound using computational techniques at various levels of complexity - calculation of physico-chemical properties, 2-D, 3-D / MO descriptors and specific receptor modelling / interaction. 4) Use of an appropriate strategy to predict toxicity - ie a statistically valid method which makes best use of all available information (mechanism of action, activity for related compounds, extrapolation across species and endpoints, likely exposure scenario amounts over time etc). 5) Consideration then needs to be given to how this information is used in the real world ie use of expert systems / tools as relevant to assessors (if sufficiently different to previous) - weight of evidence approaches. 6) Finally evidence should be presented from case studies within this area. No other publication brings together information on all of these areas in one book and this publication is unique in that it provides a logical progression through every one of these key stages and defines the use of computational approaches to predict the environmental toxicity and human health effects of organic chemicals. The volume is aimed at the developers and users of in silico toxicology and provides an analysis of all aspects required for in silico prediction of toxicology, including data collation, quality assessment and computational approaches. The contributions from recognised leaders in each of these areas include evidence of the use and applicability of approaches using real world case studies concerning both environmental and human health effects. The book provides a very useful single source reference for people working in this area including academics, professionals, under- and post-graduate students as well as Governmental Regulatory Scientists involved in chemical risk assessment and REACH.
Author: Bruce A. Fowler
Publisher: Elsevier Inc. Chapters
ISBN: 0128060425
Category : Medical
Languages : en
Pages : 12
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Book Description
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 advantages for including computational toxicology approaches in the risk assessment process. Among these are reducing costs, minimizing use of animals in toxicology testing, improving speed in providing answers regarding chemicals in emergency situations such as the Gulf Oil spill, and dealing with the common problem of decision making for chemical mixtures. In addition, computational methods may be used for extrapolating or translating data from both in vitro and in vivo experimental animal test systems for human risk assessments of chemicals and drugs. In addition, computational methods may be used for focusing laboratory studies into productive areas by data mining the published literature and developing testable hypotheses by application of systems biology approaches to identify chemical interactions with functional molecular pathways to generate a more comprehensive picture of likely primary and secondary modes of chemical or drug activity. In summary, there is much that computational toxicology is now contributing to helping make better societal risk assessment decisions about chemicals and drugs. The future for these approaches is optimistic and limited only by human ingenuity and availability of resources.
Author: Bruce A. Fowler
Publisher: Academic Press
ISBN: 012396508X
Category : Computers
Languages : en
Pages : 275
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Book Description
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
Author: Brad Reisfeld
Publisher: Humana Press
ISBN: 9781493958979
Category : Medical
Languages : en
Pages : 612
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Book Description
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 a wide array of methodologies and topics. Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and the use of computational techniques and databases to predict chemical properties and toxicity, as well as an overview of molecular dynamics. The final section is a compilation of the key elements and main approaches used in pharmacokinetic and pharmacodynamic modeling, including the modeling of absorption, compartment and non-compartmental modeling, physiologically based pharmacokinetic modeling, interspecies extrapolation, and population effects. Written in the successful Methods in Molecular BiologyTM series format where possible, chapters include introductions to their respective topics, lists of the materials and software tools used, methods, and notes on troubleshooting. Authoritative and easily accessible, Computational Toxicology will allow motivated readers to participate in this exciting field and undertake a diversity of realistic problems of interest.
