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Book Synopsis Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment by : Kunal Roy
Download or read book Understanding the Basics of QSAR for Applications in Pharmaceutical Sciences and Risk Assessment written by Kunal Roy and published by Academic Press. This book was released on 2015-03-03 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book QSAR written by Hugo Kubinyi and published by John Wiley & Sons. This book was released on 2008-07-11 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finding the new remedy for a certain disease: an inspired goal. QSAR, an invaluable tool in drug design, aids scientists to attain this aim. This book is a long-awaited comprehensive text to QSAR and related approaches. It provides a practice-oriented introduction to the theory, methods and analyses for QSAR relationships, including modelling-based and 3D approaches. Hugo Kubinyi is a leading expert in QSAR. Readers will benefit from the author's 20 years of practical experience, from his careful calculations and recalculations of thousands of QSAR equations. Among the topics covered are: - physiocochemical parameters - quantitative models - statistical methods - Hansch analysis - Free Wilson analysis - 3D-QSAR approaches The book can readily be used as a textbook due to its high didactic value and numerous examples (over 200 equations and 1100 references).
Book Synopsis Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes by :
Download or read book Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes written by and published by Elsevier. This book was released on 2011-10-13 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes stems from the experience of the EC funded project DEMETRA. This project combined institutes involved in the regulatory process of pesticides, industries of the sector and scientists to develop and offer original software for the prediction of ecotoxicity of pesticides. Then to be used within the dossier preparation for pesticide registration. The basis of this book is more than three-years of research activities, discussions, studies and successful models. This experience represents a useful example not only for the case of pesticides, but also for the prediction of ecotoxicity and toxicity in general. QSAR is used to link a given property of a chemical compound with some features related to its structure. The theoretical toxicological, chemical and information technology aspects will be treated considering the regulatory issues. Innovative hybrid systems will be described, for the toxicity prediction of pesticides and related compounds, directly useful for pesticide evaluation within the Dossier preparation for pesticide registration. Five endpoints will also be discussed, addressing issues as standardisation, verification, validation, accessibility, reproducibility. The driving force for Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes is that all the issues of concern for end-users are analysed, discussed and solutions proposed further. An innovative feature is that, in order to offer powerful QSAR models, the book discusses and reports on integrated QSAR models, combined into a unique hybrid system. * Assesses the needs of regulators for pesticide approval and how these needs affect QSAR models * Combines theoretical discussion with practical examples, including five worked examples of hybrid systems * Refers to original software available through the internet
Book Synopsis Statistical Modelling of Molecular Descriptors in QSAR/QSPR by : Matthias Dehmer
Download or read book Statistical Modelling of Molecular Descriptors in QSAR/QSPR written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2012-09-13 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A Primer on QSAR/QSPR Modeling by : Kunal Roy
Download or read book A Primer on QSAR/QSPR Modeling written by Kunal Roy and published by Springer. This book was released on 2015-04-11 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief goes back to basics and describes the Quantitative structure-activity/property relationships (QSARs/QSPRs) that represent predictive models derived from the application of statistical tools correlating biological activity (including therapeutic and toxic) and properties of chemicals (drugs/toxicants/environmental pollutants) with descriptors representative of molecular structure and/or properties. It explains how the sub-discipline of Cheminformatics is used for many applications such as risk assessment, toxicity prediction, property prediction and regulatory decisions apart from drug discovery and lead optimization. The authors also present, in basic terms, how QSARs and related chemometric tools are extensively involved in medicinal chemistry, environmental chemistry and agricultural chemistry for ranking of potential compounds and prioritizing experiments. At present, there is no standard or introductory publication available that introduces this important topic to students of chemistry and pharmacy. With this in mind, the authors have carefully compiled this brief in order to provide a thorough and painless introduction to the fundamental concepts of QSAR/QSPR modelling. The brief is aimed at novice readers.
Book Synopsis 3D QSAR in Drug Design by : Hugo Kubinyi
Download or read book 3D QSAR in Drug Design written by Hugo Kubinyi and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Recent Advances in QSAR Studies by : Tomasz Puzyn
Download or read book Recent Advances in QSAR Studies written by Tomasz Puzyn and published by Springer Science & Business Media. This book was released on 2010-01-19 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part consists of a comprehensive review of QSAR methodology. The second part highlights the interdisciplinary aspects and new areas of QSAR modelling.
Book Synopsis Genetic Algorithms in Molecular Modeling by : James Devillers
Download or read book Genetic Algorithms in Molecular Modeling written by James Devillers and published by Academic Press. This book was released on 1996-06-07 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. Extremely topical and timely Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design Written to be accessible without prior direct experience in genetic algorithms
Book Synopsis QSAR and Drug Design: New Developments and Applications by : H. Timmerman
Download or read book QSAR and Drug Design: New Developments and Applications written by H. Timmerman and published by Elsevier. This book was released on 1995-11-20 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on topics presented at the Annual Japanese (Quantitative) Structure-Activity Relationship Symposium and the Biennial China-Japan Drug Design and Development conference, the topics in this volume cover almost every procedure and subdiscipline in the SAR discipline. They are categorized in three sections. Section one includes topics illustrating newer methodologies relating to ligand-receptor, molecular graphics and receptor modelling as well as the three-dimensional (Q)SAR examples with the active analogue approach and the comparative molecular field analysis. In section 2 the hydrophobicity parameters, log P (1-octanol/water) for compound series of medicinal-chemical interest are analysed physico-organic chemically. Section 3 contains the examples based on the traditional Hansch QSAR approach. A variety of methodologies and procedures are presented in this single volume, along with their methodological philosophies.
Book Synopsis Computational Approaches for the Prediction of pKa Values by : George C. Shields
Download or read book Computational Approaches for the Prediction of pKa Values written by George C. Shields and published by CRC Press. This book was released on 2013-12-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pKa of a compound describes its acidity or basicity and, therefore, is one of its most important properties. Its value determines what form of the compound—positive ion, negative ion, or neutral species—will be present under different circumstances. This is crucial to the action and detection of the compound as a drug, pollutant, or other active chemical agent. In many cases it is desirable to predict pKa values prior to synthesizing a compound, and enough is now known about the salient features that influence a molecule’s acidity to make these predictions. Computational Approaches for the Prediction of pKa Values describes the insights that have been gained on the intrinsic and extrinsic features that influence a molecule’s acidity and discusses the computational methods developed to estimate acidity from a compound’s molecular structure. The authors examine the strengths and weaknesses of the theoretical techniques and show how they have been used to obtain information about the acidities of different classes of chemical compounds. The book presents theoretical methods for both general and more specific applications, covering methods for various acids in aqueous solutions—including oxyacids and related compounds, nitrogen acids, inorganic acids, and excited-state acids—as well as acids in nonaqueous solvents. It also considers temperature effects, isotope effects, and other important factors that influence pKa. This book provides a resource for predicting pKa values and understanding the bases for these determinations, which can be helpful in designing better chemicals for future uses.
Book Synopsis Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens by : Romualdo Benigni
Download or read book Quantitative Structure-Activity Relationship (QSAR) Models of Mutagens and Carcinogens written by Romualdo Benigni and published by CRC Press. This book was released on 2003-02-26 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Advances in QSAR Modeling by : Kunal Roy
Download or read book Advances in QSAR Modeling written by Kunal Roy and published by Springer. This book was released on 2017-05-22 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included – two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.
Book Synopsis Topological Indices and Related Descriptors in QSAR and QSPR by : James Devillers
Download or read book Topological Indices and Related Descriptors in QSAR and QSPR written by James Devillers and published by CRC Press. This book was released on 2000-03-09 with total page 811 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topological Indices and Related Descriptors in QSAR and QSPR reviews the state of the art in this field and highlights the important advances in the generation of descriptors calculated directly from the structure of molecules. This long-awaited comprehensive book provides all the necessary information to calculate and use these descriptors for deriving structure-activity and structure-property relationships. Written by leading experts in the field, this book discusses the physicochemical significance, strengths, and weaknesses of these indices and presents numerous examples of applications. This book will be a valuable reference for anyone involved in the use of QSAR and QSPR in the pharmaceutical, applied chemical, and environmental sciences. It is also suitable for use as a supplementary textbook on related graduate level courses.
Book Synopsis Applied Chemoinformatics by : Thomas Engel
Download or read book Applied Chemoinformatics written by Thomas Engel and published by John Wiley & Sons. This book was released on 2018-06-05 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edited by world-famous pioneers in chemoinformatics, this is a clearly structured and applications-oriented approach to the topic, providing up-to-date and focused information on the wide range of applications in this exciting field. The authors explain methods and software tools, such that the reader will not only learn the basics but also how to use the different software packages available. Experts describe applications in such different fields as structure-spectra correlations, virtual screening, prediction of active sites, library design, the prediction of the properties of chemicals, the development of new cosmetics products, quality control in food, the design of new materials with improved properties, toxicity modeling, assessment of the risk of chemicals, and the control of chemical processes. The book is aimed at advanced students as well as lectures but also at scientists that want to learn how chemoinformatics could assist them in solving their daily scientific tasks. Together with the corresponding textbook Chemoinformatics - Basic Concepts and Methods (ISBN 9783527331093) on the fundamentals of chemoinformatics readers will have a comprehensive overview of the field.
Book Synopsis Comparative Qsar by : James Devillers
Download or read book Comparative Qsar written by James Devillers and published by CRC Press. This book was released on 1998-03-03 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the 21st century approaches, there is little doubt that the tools and resources are available to unlock all the secrets of Quantitative Structure-Activity Relationships (QSAR) in order to design more efficient drugs and safer chemicals. The comparison QSAR models provide are a key to reach a deep understanding of the foundation and a better optimisation of the use of these statistical tools. Seeking out the similarities and differences among QSAR Models allows the user to estimate their simulation performances, find chemo-taxonomical links, and uncover In vivo/In Vitro relationships. The purpose of this book is to highlight the multifaceted aspect of the term "comparative QSAR" by bringing together QSAR experts of various origins and allowing them to offer their views on this diverse subject.
Book Synopsis Chemometrics Applications and Research by : Andrew G. Mercader
Download or read book Chemometrics Applications and Research written by Andrew G. Mercader and published by CRC Press. This book was released on 2016-03-30 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important new book provides innovative material, including peer-reviewed chapters and survey articles on new applied research and development, in the scientifically important field of QSAR in medicinal chemistry. QSAR is a growing field because available computing power is continuously increasing, QSAR’s potential is enormous, limited only by the quantity and quality of the available experimental input, which are also continuously improving. The number of possible structures for the design of new organic compounds is difficult to imagine, and QSAR helps to predict their activities even before synthesis. The book provides a wealth of valuable information and: • Presents an overview of recent developments in QSAR methodologies along with a brief history of QSAR • Covers the available web resource tools and in silico techniques used in virtual screening and drug discovery processes, compiling an extensive review of web resources in the following categories: databases related to chemical compounds, drug targets, and ADME/toxicity prediction; molecular modeling and drug designing; virtual screening; pharmacophore generation; molecular descriptor calculation software; software for quantum mechanics; ligand binding affinities (docking); and software related to ADME/toxicity prediction • Reviews the rm2 as a more stringent measure for the assessment of model predictivity compared to traditional validation metrics, being specifically important since validation is a crucial step in any QSAR study • Presents linear model improvement techniques that take into account the conformation flexibility of the modeled molecules • Summarizes the building processes of four different pharmacophore models: common-feature, 3D-QSAR, protein-, and protein-ligand complexes • Shows the role of different conceptual density functional theory based chemical reactivity descriptors, such as hardness, electrophilicity, net electrophilicity, and philicity in the design of different QSAR/QSPR/QSTR models • Reviews the use of chemometrics in PPAR research highlighting its substantial contribution in identifying essential structural characteristics and understanding the mechanism of action • Presents the structures and QSARs of antimicrobial and immunosuppressive cyclopeptides, discussing the balance of antimicrobial and haemolytic activities for designing new antimicrobial cyclic peptides • Shows the relationship between DFT global descriptors and experimental toxicity of a selected group of polychlorinated biphenyls, exploring the efficacy of three DFT descriptors • Reviews the applications of Quantitative Structure-Relative Sweetness Relationships (QSRSR), showing that the last decade was marked by an increase in the number of studies regarding QSAR applications for both understanding the sweetness mechanism and synthesizing novel sweetener compounds for the food additive industry The wide coverage makes this book an excellent reference for those in chemistry, pharmacology, and medicine as well as for research centers, governmental organizations, pharmaceutical companies, and health and environmental control organizations.
Book Synopsis Chemometrics and Cheminformatics in Aquatic Toxicology by : Kunal Roy
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.
