Computational Systems Pharmacology And Toxicology

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Computational Systems Pharmacology and Toxicology

Author : Rudy J Richardson,Dale E Johnson
Publisher : Royal Society of Chemistry
Page : 332 pages
File Size : 53,9 Mb
Release : 2017-03-01
Category : Science
ISBN : 9781788011204

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Computational Systems Pharmacology and Toxicology by Rudy J Richardson,Dale E Johnson Pdf

The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment. This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics. This book will be useful for scientists involved in environmental research and risk assessment. It will be a valuable resource for postgraduate students and researchers wishing to learn about key methods used in studying biological targets both from a toxicity and pharmacological activity standpoint.

Computational Systems Toxicology

Author : Julia Hoeng,Manuel C. Peitsch
Publisher : Humana
Page : 0 pages
File Size : 47,6 Mb
Release : 2016-10-29
Category : Medical
ISBN : 1493950037

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Computational Systems Toxicology by Julia Hoeng,Manuel C. Peitsch Pdf

This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment. Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them.

Computational Systems Pharmacology and Toxicology

Author : Rudy J Richardson,Dale E Johnson
Publisher : Royal Society of Chemistry
Page : 332 pages
File Size : 45,5 Mb
Release : 2017-03-01
Category : Science
ISBN : 9781782623731

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Computational Systems Pharmacology and Toxicology by Rudy J Richardson,Dale E Johnson Pdf

The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing and also reduce the number of animals used in experimentation. Rapid advances in availability of computing technology hold tremendous promise for advancing applied and basic science and increasing the efficiency of risk assessment. This book provides an understanding of the basic principles of computational toxicology and the current methods of predictive toxicology using chemical structures, toxicity-related databases, in silico chemical-protein docking, and biological pathway tools. The book begins with an introduction to systems pharmacology and toxicology and computational tools followed by a section exploring modelling adverse outcomes and events. The second part of the book covers the discovery of protein targets and the characterisation of toxicant-protein interactions. Final chapters include case studies and additionally discuss interactions between phytochemicals and Western therapeutics. This book will be useful for scientists involved in environmental research and risk assessment. It will be a valuable resource for postgraduate students and researchers wishing to learn about key methods used in studying biological targets both from a toxicity and pharmacological activity standpoint.

Computational Toxicology

Author : Sean Ekins
Publisher : John Wiley & Sons
Page : 855 pages
File Size : 42,9 Mb
Release : 2007-06-30
Category : Science
ISBN : 9780470145883

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Computational Toxicology by Sean Ekins Pdf

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 experimental and computational approaches in detail, with: * An introduction to toxicology methods and an explanation of computational methods * In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels * Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena * Chapters written by leading international experts * Figures that illustrate computational models and references for further information This is a key resource for toxicologists and scientists in the pharmaceutical industry and environmental sciences as well as researchers involved in ADMET, drug discovery, and technology and software development.

Computational Toxicology

Author : Orazio Nicolotti
Publisher : Humana
Page : 587 pages
File Size : 46,8 Mb
Release : 2019-12-10
Category : Medical
ISBN : 1493993194

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Computational Toxicology by Orazio Nicolotti Pdf

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 of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Computational Toxicology: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this expanding field.

Computational Toxicology

Author : Bruce A. Fowler
Publisher : Elsevier Inc. Chapters
Page : 274 pages
File Size : 51,5 Mb
Release : 2013-06-04
Category : Medical
ISBN : 9780128060421

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Computational Toxicology by Bruce A. Fowler Pdf

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.

Computational Toxicology

Author : Bruce A. Fowler
Publisher : Academic Press
Page : 275 pages
File Size : 51,8 Mb
Release : 2013-06-04
Category : Computers
ISBN : 9780123965080

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Computational Toxicology by Bruce A. Fowler Pdf

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

Author : Nigel Greene,Mark Gosink
Publisher : Elsevier Inc. Chapters
Page : 274 pages
File Size : 49,9 Mb
Release : 2013-06-04
Category : Medical
ISBN : 9780128060513

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Computational Toxicology by Nigel Greene,Mark Gosink Pdf

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 in animals. Initial predictive efforts have focused on using compound structure to predict toxicity. This work has led to a number of successes in the ability to predict genotoxicity and carcinogenicity. In this chapter, we describe some of the methods used in pharmaceuticals to predict these adverse effects as well as methodologies used to predict organ-specific toxicity such as drug-induced liver injury, a major risk for new drugs. More recently, pharmaceuticals have begun to consider gene information when predicting toxicities. Activity against major risk genes such as the hERG is now routinely used to identify some risks. Finally, we discuss some approaches being developed to predict and/or categorize risk using gene, protein, or metabolite changes.

Computational Toxicology

Author : Brad Reisfeld,Arthur N. Mayeno
Publisher : Humana Press
Page : 662 pages
File Size : 43,8 Mb
Release : 2016-05-01
Category : Computers
ISBN : 1493963260

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Computational Toxicology by Brad Reisfeld,Arthur N. Mayeno Pdf

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

Author : Sean Ekins
Publisher : John Wiley & Sons
Page : 450 pages
File Size : 47,6 Mb
Release : 2018-02-13
Category : Science
ISBN : 9781119282563

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Computational Toxicology by Sean Ekins Pdf

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 and powerful single-source reference Includes in-depth looks at QSAR models, physicochemical drug properties, structure-based drug targeting, chemical mixture assessments, and environmental modeling Features coverage about consumer product safety assessment and chemical defense along with chapters on open source toxicology and big data

Advances in Computational Toxicology

Author : Huixiao Hong
Publisher : Springer
Page : 412 pages
File Size : 55,8 Mb
Release : 2019-05-21
Category : Science
ISBN : 9783030164430

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Advances in Computational Toxicology by Huixiao Hong Pdf

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.

Computational Toxicology

Author : Brad Reisfeld,Arthur N. Mayeno
Publisher : Unknown
Page : 613 pages
File Size : 45,7 Mb
Release : 2013
Category : Computational biology
ISBN : 1627030506

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Computational Toxicology by Brad Reisfeld,Arthur N. Mayeno Pdf

Systems Pharmacology and Pharmacodynamics

Author : Donald E. Mager,Holly H.C. Kimko
Publisher : Springer
Page : 511 pages
File Size : 46,6 Mb
Release : 2016-11-29
Category : Medical
ISBN : 9783319445342

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Systems Pharmacology and Pharmacodynamics by Donald E. Mager,Holly H.C. Kimko Pdf

While systems biology and pharmacodynamics have evolved in parallel, there are significant interrelationships that can enhance drug discovery and enable optimized therapy for each patient. Systems pharmacology is the relatively new discipline that is the interface between these two methods. This book is the first to cover the expertise from systems biology and pharmacodynamics researchers, describing how systems pharmacology may be developed and refined further to show practical applications in drug development. There is a growing awareness that pharmaceutical companies should reduce the high attrition in the pipeline due to insufficient efficacy or toxicity found in proof-of-concept and/or Phase II studies. Systems Pharmacology and Pharmacodynamics discusses the framework for integrating information obtained from understanding physiological/pathological pathways (normal body function system vs. perturbed system due to disease) and pharmacological targets in order to predict clinical efficacy and adverse events through iterations between mathematical modeling and experimentation.

Computational Approaches in Drug Discovery, Development and Systems Pharmacology

Author : Rupesh Kumar Gautam,Mohammad Amjad Kamal,Pooja Mittal
Publisher : Elsevier
Page : 364 pages
File Size : 40,6 Mb
Release : 2023-02-15
Category : Medical
ISBN : 9780323993739

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Computational Approaches in Drug Discovery, Development and Systems Pharmacology by Rupesh Kumar Gautam,Mohammad Amjad Kamal,Pooja Mittal Pdf

Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics. Explains computer use in pharmacology using real-life case studies Provides information about biological activities using computer technology, thus allowing for the possible reduction of the number of animals used for research Describes the role of AI in pharmacology and applications of CADD in various diseases

Computational Toxicology

Author : Brad Reisfeld,Arthur N. Mayeno
Publisher : Unknown
Page : 613 pages
File Size : 49,9 Mb
Release : 2012
Category : Biochemical markers
ISBN : 1627030506

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Computational Toxicology by Brad Reisfeld,Arthur N. Mayeno Pdf

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.