Download or read book Quantitative Modeling in Toxicology written by Kannan Krishnan and published by John Wiley & Sons. This book was released on 2010-04-01 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Governments around the world are passing laws requiring industry to assess the toxicity of the chemicals and products they produce, but to do so while reducing, refining, or even replacing testing on animals. To meet these requirements, experimental toxicologists and risk assessors are adopting quantitative approaches and computer simulations to study the biological fate and effects of chemicals and drugs. In Quantitative Modeling in Toxicology leading experts outline the current state of knowledge on the modeling of dose, tissue interactions and tissue responses. Each chapter describes the mathematical foundation, parameter estimation, challenges and perspectives for development, along with the presentation of a modeling template. Additionally, tools and approaches for conducting uncertainty, sensitivity and variability analyses in these models are described. Topics covered include: the quantitative models of pharmacokinetics of individual chemicals and mixtures models for toxicant-target tissue interaction. models for cellular, organ, and organism responses. approaches, tools and challenges for model application and evaluation A website containing computer codes accompanies the book to help the reader reconstruct the models described and discussed in the various chapters. Quantitative Modeling in Toxicology serves as an essential reference source and tool box for risk assessors and researchers and students in toxicology, public health, pharmacology, and human toxicology interested in developing quantitative models for a better understanding of dose-response relationships.
Download or read book Statistical Models in Toxicology written by Mehdi Razzaghi and published by CRC Press. This book was released on 2020-05-21 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Models in Toxicology presents an up-to-date and comprehensive account of mathematical statistics problems that occur in toxicology. This is as an exciting time in toxicology because of the attention given by statisticians to the problem of estimating the human health risk for environmental and occupational exposures. The development of modern statistical techniques with solid mathematical foundations in the 20th century and the advent of modern computers in the latter part of the century gave way to development of many statistical models and methods to describe toxicological processes and attempts to solve the associated problems. Not only have the models enjoyed a high level of elegance and sophistication mathematically, they are widely used by industry and government regulatory agencies. Features: Focuses on describing the statistical models in environmental toxicology that facilitate the assessment of risk mainly in humans. The properties and shortfalls of each model are discussed and its impact in the process of risk assessment is examined. Discusses models that assess the risk of mixtures of chemicals. Presents statistical models that are developed for risk estimation in different aspects of environmental toxicology including cancer and carcinogenic substances. Includes models for developmental and reproductive toxicity risk assessment, risk assessment in continuous outcomes and developmental neurotoxicity. Contains numerous examples and exercises. Statistical Models in Toxicology introduces a wide variety of statistical models that are currently utilized for dose-response modeling and risk analysis. These models are often developed based on design and regulatory guidelines of toxicological experiments. The book is suitable for practitioners or as use as a textbook for advanced undergraduate or graduate students of mathematics and statistics.
Download or read book Chemometrics and Cheminformatics in Aquatic Toxicology written by Kunal Roy and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms. You’ll learn about a variety of aquatic toxicity databases and chemometric software tools and webservers as well as practical examples of model development, including illustrations. You’ll also find case studies and literature reports to round out your understanding of the subject. Finally, you’ll learn about tools and protocols including machine learning, data mining, and QSAR and ligand-based chemical design methods. Readers will also benefit from the inclusion of: A thorough introduction to chemometric and cheminformatic tools and techniques, including machine learning and data mining An exploration of aquatic toxicity databases, chemometric software tools, and webservers Practical examples and case studies to highlight and illustrate the concepts contained within the book A concise treatment of chemometric and cheminformatic tools and their application to the analysis and modeling of toxicity data Perfect for researchers and students in chemistry and the environmental and pharmaceutical sciences, Chemometrics and Cheminformatics in Aquatic Toxicology will also earn a place in the libraries of professionals in the chemical industry and regulators whose work involves chemometrics.
Download or read book Computational Toxicology written by Patricia Ruiz and published by Elsevier Inc. Chapters. This book was released on 2013-06-04 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 scale) and the employment of dose-response and extrapolation modeling tools. While the latter methodology is in its infancy, several methodologies for dose-response and extrapolation modeling are more mature. Over the last decade, physiologically based pharmacokinetic (PBPK) modeling has gained acceptance as a computational tool for use in public health assessments. In this chapter, we present examples of quantitative structure-activity relationship (QSAR) models, physiologically based pharmacokinetic (PBPK) models, and biologically based dose response (BBDR) models that have been developed for use in public health assessments and advancing knowledge gained through in silico examinations of biological systems.
Download or read book Quantitative Structure Activity Relationships in Drug Design Predictive Toxicology and Risk Assessment written by Roy, Kunal and published by IGI Global. This book was released on 2015-02-28 with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.
Download or read book Developing Network Based Systems Toxicology by Combining Transcriptomics Data with Literature Mining and Multiscale Quantitative Modeling written by Alain Sewer and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe how the genome-wide transcriptional profiling can be used in network-based systems toxicology, an approach leveraging biological networks for assessing the health risks of exposure to chemical compounds. Driven by the technological advances changing the ways in which data are generated, systems toxicology has allowed traditional toxicity endpoints to be enhanced with far deeper levels of analysis. In combination, new experimental and computational methods have offered the potential for more effective, efficient, and reliable toxicological testing strategies. We illustrate these advances by the "network perturbation amplitude" methodology that quantifies the effects of exposure treatments on biological mechanisms represented by causal networks. We also describe recent developments in the assembly of high-quality causal biological networks using crowdsourcing and text-mining approaches. We further show how network-based approaches can be integrated into the multiscale modeling framework of response to toxicological exposure. Finally, we combine biological knowledge assembly and multiscale modeling to report on the promising developments of the "quantitative adverse outcome pathway" concept, which spans multiple levels of biological organization, from molecules to population, and has direct relevance in the context of the "Toxicity Testing in the 21st century" vision of the US National Research Council.
Download or read book Statistical Models in Toxicology written by Mehdi Razzaghi and published by CRC Press. This book was released on 2020-05-21 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Models in Toxicology presents an up-to-date and comprehensive account of mathematical statistics problems that occur in toxicology. This is as an exciting time in toxicology because of the attention given by statisticians to the problem of estimating the human health risk for environmental and occupational exposures. The development of modern statistical techniques with solid mathematical foundations in the 20th century and the advent of modern computers in the latter part of the century gave way to development of many statistical models and methods to describe toxicological processes and attempts to solve the associated problems. Not only have the models enjoyed a high level of elegance and sophistication mathematically, they are widely used by industry and government regulatory agencies. Features: Focuses on describing the statistical models in environmental toxicology that facilitate the assessment of risk mainly in humans. The properties and shortfalls of each model are discussed and its impact in the process of risk assessment is examined. Discusses models that assess the risk of mixtures of chemicals. Presents statistical models that are developed for risk estimation in different aspects of environmental toxicology including cancer and carcinogenic substances. Includes models for developmental and reproductive toxicity risk assessment, risk assessment in continuous outcomes and developmental neurotoxicity. Contains numerous examples and exercises. Statistical Models in Toxicology introduces a wide variety of statistical models that are currently utilized for dose-response modeling and risk analysis. These models are often developed based on design and regulatory guidelines of toxicological experiments. The book is suitable for practitioners or as use as a textbook for advanced undergraduate or graduate students of mathematics and statistics.
Download or read book Bioinformatics in the Era of Post Genomics and Big Data written by Ibrokhim Y. Abdurakhmonov and published by BoD – Books on Demand. This book was released on 2018-06-20 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This book intends to provide the reader with updates and progress on genomic data analysis, data modeling and network-based system tools.
Download or read book Biological Concepts and Techniques in Toxicology written by Jim E. Riviere and published by CRC Press. This book was released on 2006-03-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highlighting the latest advances in molecular biology, mathematical modeling, quantitative risk assessment, and biopharmaceutical development, this reference presents how current scientific applications and methods impact and revolutionize mainstream toxicological research. Presenting findings from disciplines that will impact the future of toxicol
Download or read book Computational Toxicology written by Sean Ekins and published by John Wiley & Sons. This book was released on 2018-02-13 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dieses Buch ist ein wichtiges Referenzwerk für Toxikologen in vielen Bereichen und bietet eine umfassende Analyse molekular Modellansätze und Strategien der Risikobewertung von pharmazeutischen und Umweltchemikalien. - Zeigt, was mit rechnergestützter Toxikologie aktuell erreicht werden kann, und wirft einen Blick auf zukünftige Entwicklungen. - Gibt Antworten zu Themen wie Datenquellen, Datenpflege, Behandlung, Modellierung und Interpretation kritischer Endpunkte im Hinblick auf Gefahrenbewertungen im 21. Jahrhundert. - Bündelt herausragende Konzepte und das Wissen führender Autoren in einem einzigartigen Referenzwerk. - Untersucht detailliert QSAR-Modelle, Eigenschaften physiochemischer Arzneistoffe, strukturbasiertes Drug Targeting, die Bewertung chemischer Mischungen und Umweltmodelle. - Behandelt zusätzlich die Sicherheitsbewertung von Verbraucherprodukten und den Bereich chemische Abwehr und bietet Kapitel zu Open-Source-Toxikologie und Big Data.
Download or read book Computational Toxicology written by William Mendez and published by Elsevier Inc. Chapters. This book was released on 2013-06-04 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 OECD are briefly reviewed, and current applications of CompTox to risk assessment in the areas of screening, priority setting for testing and regulation, and the elucidation of adverse outcome pathways are discussed. Potential future directions for the application of computational toxicology in a wider range of risk applications are identified, along with ongoing research needs.
Download or read book Computational Toxicology written by Brad Reisfeld and published by Humana Press. This book was released on 2016-05-01 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Toxicology written by Brad Reisfeld and published by . This book was released on 2012 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Toxicity Testing in the 21st Century written by National Research Council and published by National Academies Press. This book was released on 2007-10-05 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in molecular biology and toxicology are paving the way for major improvements in the evaluation of the hazards posed by the large number of chemicals found at low levels in the environment. The National Research Council was asked by the U.S. Environmental Protection Agency to review the state of the science and create a far-reaching vision for the future of toxicity testing. The book finds that developing, improving, and validating new laboratory tools based on recent scientific advances could significantly improve our ability to understand the hazards and risks posed by chemicals. This new knowledge would lead to much more informed environmental regulations and dramatically reduce the need for animal testing because the new tests would be based on human cells and cell components. Substantial scientific efforts and resources will be required to leverage these new technologies to realize the vision, but the result will be a more efficient, informative and less costly system for assessing the hazards posed by industrial chemicals and pesticides.
Download or read book Computational Toxicology written by Brad Reisfeld and published by Humana Press. This book was released on 2016-08-23 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Dermal Absorption Models in Toxicology and Pharmacology written by Jim E. Riviere and published by CRC Press. This book was released on 2005-08-24 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 assessment process. The remainder of the book explores scenarios where the unique properties of the chemicals being studied or the matrix in which they are exposed must be considered and then wraps up with a comparative analysis of chemical permeability in human and animal skin. Many of the books covering this subject are just too comprehensive and serve primarily as reference works. This book takes a different approach. Jim Riviere's editorial guidance ensures that the information is readable, accessible, authoritative, and concise, making it the perfect resource for familiarizing new researchers and students to the field and updating established scientists.
Download or read book Systems Pharmacology and Pharmacodynamics written by Donald E. Mager and published by Springer. This book was released on 2016-11-29 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
