Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment PDF Author: Kunal Roy
Publisher: Academic Press
ISBN: 0128016337
Category : Medical
Languages : en
Pages : 494

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Book Description
Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. - Includes numerous practical examples related to QSAR methods and applications - Follows the Organization for Economic Co-operation and Development principles for QSAR model development - Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment

Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment PDF Author: Kunal Roy
Publisher: Academic Press
ISBN: 0128016337
Category : Medical
Languages : en
Pages : 494

Get Book Here

Book Description
Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment describes the historical evolution of quantitative structure-activity relationship (QSAR) approaches and their fundamental principles. This book includes clear, introductory coverage of the statistical methods applied in QSAR and new QSAR techniques, such as HQSAR and G-QSAR. Containing real-world examples that illustrate important methodologies, this book identifies QSAR as a valuable tool for many different applications, including drug discovery, predictive toxicology and risk assessment. Written in a straightforward and engaging manner, this is the ideal resource for all those looking for general and practical knowledge of QSAR methods. - Includes numerous practical examples related to QSAR methods and applications - Follows the Organization for Economic Co-operation and Development principles for QSAR model development - Discusses related techniques such as structure-based design and the combination of structure- and ligand-based design tools

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment

Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment PDF Author: Roy, Kunal
Publisher: IGI Global
ISBN: 1466681373
Category : Technology & Engineering
Languages : en
Pages : 727

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Book Description
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.

Quantitative Structure-activity Relationship

Quantitative Structure-activity Relationship PDF Author: Fatma Kandemirli
Publisher: BoD – Books on Demand
ISBN: 9535134094
Category : Science
Languages : en
Pages : 90

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Book Description
The book, which is related to QSAR in sciences, is divided into five main chapters. The first chapter is the Introductory chapter. The second chapter aims to provide an update of the recent advances in the field of rational design of PDE inhibitors. The third chapter includes designing a series of peptidic inhibitors that possessed a substrate transition-state analog and evaluating the structure-activity relationship of the designed inhibitors, based on docking and scoring, using the docking simulation software Molecular Operating Environment. The aim of the forth chapter is to develop structure-property relationships for the qualitative and quantitative prediction of the reverse-phase liquid chromatographic retention times of chlorogenic acids. The final chapter aims to determine the model of interactions between the natural compounds with anti-inflammatory molecular target by molecular docking analysis.

Statistical Modelling of Molecular Descriptors in QSAR/QSPR

Statistical Modelling of Molecular Descriptors in QSAR/QSPR PDF Author: Matthias Dehmer
Publisher: John Wiley & Sons
ISBN: 3527645012
Category : Medical
Languages : en
Pages : 437

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Book Description
This handbook and ready reference presents a combination of statistical, information-theoretic, and data analysis methods to meet the challenge of designing empirical models involving molecular descriptors within bioinformatics. The topics range from investigating information processing in chemical and biological networks to studying statistical and information-theoretic techniques for analyzing chemical structures to employing data analysis and machine learning techniques for QSAR/QSPR. The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design.

Structure—Activity Relationships in Environmental Sciences

Structure—Activity Relationships in Environmental Sciences PDF Author: M. Nendza
Publisher: Springer Science & Business Media
ISBN: 1461558050
Category : Science
Languages : en
Pages : 279

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Book Description
Structure-Activity Relationships in Environmental Science is the first book of its kind that brings together information from a variety of sources into one document. It provides a comprehensive overview of the entire field of quantitative structure-activity relationships (QSARs) as well as being a reference for SAR experts. The book comprises three parts. Part One covers the theoretical background of structure-activity studies and Part Two deals with the practical applications of such methods in the environmental sciences. Part Three critically discusses SAR models with respect to their reliability and their aptness in environmental hazard and risk assessment. Recommendations are made as to which model to use and the case is presented for using QSARs in hazard assessment. The use of QSARs is becoming increasingly important since there is little experimental data available on environmentally relevant chemicals. Structure-Activity Relationships in Environmental Sciences will thus serve as an invaluable guide to both postgraduate and research scientists as well as professional ecologists.

3D QSAR in Drug Design

3D QSAR in Drug Design PDF Author: Hugo Kubinyi
Publisher: Springer Science & Business Media
ISBN: 0306468573
Category : Science
Languages : en
Pages : 413

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Book Description
Significant progress has been made in the study of three-dimensional quantitative structure-activity relationships (3D QSAR) since the first publication by Richard Cramer in 1988 and the first volume in the series. 3D QSAR in Drug Design. Theory, Methods and Applications, published in 1993. The aim of that early book was to contribute to the understanding and the further application of CoMFA and related approaches and to facilitate the appropriate use of these methods. Since then, hundreds of papers have appeared using the quickly developing techniques of both 3D QSAR and computational sciences to study a broad variety of biological problems. Again the editor(s) felt that the time had come to solicit reviews on published and new viewpoints to document the state of the art of 3D QSAR in its broadest definition and to provide visions of where new techniques will emerge or new appli- tions may be found. The intention is not only to highlight new ideas but also to show the shortcomings, inaccuracies, and abuses of the methods. We hope this book will enable others to separate trivial from visionary approaches and me-too methodology from in- vative techniques. These concerns guided our choice of contributors. To our delight, our call for papers elicited a great many manuscripts.

Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens

Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens PDF Author: Romualdo Benigni
Publisher: CRC Press
ISBN: 0203010825
Category : Medical
Languages : en
Pages : 302

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Book Description
Applied with success in a number of areas, QSAR studies have become particularly popular in the rational design of drugs and pesticides. Much has been published on the principles of QSAR in this area, but not on their application s to toxic chemicals. This book provides the first comprehensive, interdisciplinary presentation of QSAR studies on

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design

Concepts and Experimental Protocols of Modelling and Informatics in Drug Design PDF Author: Om Silakari
Publisher: Academic Press
ISBN: 0128205474
Category : Medical
Languages : en
Pages : 398

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Book Description
Concepts and Experimental Protocols of Modelling and Informatics in Drug Design discusses each experimental protocol utilized in the field of bioinformatics, focusing especially on computer modeling for drug development. It helps the user in understanding the field of computer-aided molecular modeling (CAMM) by presenting solved exercises and examples. The book discusses topics such as fundamentals of molecular modeling, QSAR model generation, protein databases and how to use them to select and analyze protein structure, and pharmacophore modeling for drug targets. Additionally, it discusses data retrieval system, molecular surfaces, and freeware and online servers. The book is a valuable source for graduate students and researchers on bioinformatics, molecular modeling, biotechnology and several members of biomedical field who need to understand more about computer-aided molecular modeling. - Presents exercises with solutions to aid readers in validating their own protocol - Brings a thorough interpretation of results of each exercise to help readers compare them to their own study - Explains each parameter utilized in the algorithms to help readers understand and manipulate various features of molecules and target protein to design their study

Quantitative Structure-Activity Relationships of Drugs

Quantitative Structure-Activity Relationships of Drugs PDF Author: John Topliss
Publisher: Elsevier
ISBN: 0323146872
Category : Medical
Languages : en
Pages : 535

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Book Description
Medicinal Chemistry, Volume 19: Quantitative Structure-Activity Relationships of Drugs is a critical review of the applications of various quantitative structure-activity relationship (QSAR) methodologies in different drug therapeutic areas and discusses the results in terms of their contribution to medicinal chemistry. After briefly describing the developments in QSAR research, this 12-chapter volume goes on discussing the contributions of QSAR methodology in elucidating drug action and rational development of drugs against bacterial, fungal, viral, and other parasitic infections of man. Other chapters explore the mode of action and QSAR of antitumor, cardiovascular, antiallergic, antiulcer, antiarthritic, and nonsteroidal antiinflammatory drugs (NSAID) agents. The discussion then shifts to the pharmacologic effects and QSAR analysis of central nervous system agents, steroids, and other hormones. A chapter examines the major chemicals affecting insects and mites, with particular emphasis on the parameters of binding correlation and reactivity for insect and mite enzymes. The concluding chapters cover the limitations of the QSAR approach in the quantitative treatment of drug absorption, distribution, and metabolism. This volume is of great value to medicinal chemists, scientists, and researchers.

Multiple Classifier Systems

Multiple Classifier Systems PDF Author: Fabio Roli
Publisher: Springer
ISBN: 354025966X
Category : Computers
Languages : en
Pages : 397

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Book Description
The fusion of di?erent information sourcesis a persistent and intriguing issue. It hasbeenaddressedforcenturiesinvariousdisciplines,includingpoliticalscience, probability and statistics, system reliability assessment, computer science, and distributed detection in communications. Early seminal work on fusion was c- ried out by pioneers such as Laplace and von Neumann. More recently, research activities in information fusion have focused on pattern recognition. During the 1990s,classi?erfusionschemes,especiallyattheso-calleddecision-level,emerged under a plethora of di?erent names in various scienti?c communities, including machine learning, neural networks, pattern recognition, and statistics. The d- ferent nomenclatures introduced by these communities re?ected their di?erent perspectives and cultural backgrounds as well as the absence of common forums and the poor dissemination of the most important results. In 1999, the ?rst workshop on multiple classi?er systems was organized with the main goal of creating a common international forum to promote the diss- ination of the results achieved in the diverse communities and the adoption of a common terminology, thus giving the di?erent perspectives and cultural ba- grounds some concrete added value. After ?ve meetings of this workshop, there is strong evidence that signi?cant steps have been made towards this goal. - searchers from these diverse communities successfully participated in the wo- shops, and world experts presented surveys of the state of the art from the perspectives of their communities to aid cross-fertilization.