QSAR and Drug Design: New Developments and Applications

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Author :
Publisher : Elsevier
ISBN 13 : 9780080545004
Total Pages : 490 pages
Book Rating : 4.09/5 ( download)

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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.

3D QSAR in Drug Design

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0306468573
Total Pages : 413 pages
Book Rating : 4.75/5 ( download)

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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 413 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.

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

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Publisher : Academic Press
ISBN 13 : 0128016337
Total Pages : 494 pages
Book Rating : 4.36/5 ( download)

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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 494 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

Recent Advances in QSAR Studies

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Publisher : Springer Science & Business Media
ISBN 13 : 1402097832
Total Pages : 428 pages
Book Rating : 4.36/5 ( download)

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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.

3D QSAR in Drug Design

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Publisher : Springer Science & Business Media
ISBN 13 : 0306468581
Total Pages : 349 pages
Book Rating : 4.82/5 ( download)

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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 349 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.

Advances in QSAR Modeling

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Publisher : Springer
ISBN 13 : 3319568507
Total Pages : 555 pages
Book Rating : 4.08/5 ( download)

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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.

Chemometrics Applications and Research

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Publisher : CRC Press
ISBN 13 : 1498722598
Total Pages : 446 pages
Book Rating : 4.99/5 ( download)

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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 446 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

3D QSAR in Drug Design

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Publisher : Springer Science & Business Media
ISBN 13 : 9789072199140
Total Pages : 796 pages
Book Rating : 4.46/5 ( download)

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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 1993-12-31 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in medicinal chemistry and in drug design depends on our ability to understand the interactions of drugs with their biological targets. Classical QSAR studies describe biological activity in terms of physicochemical properties of substituents in certain positions of the drug molecules. The purpose of this book is twofold: On the one hand, both the novice and the experienced user will be introduced to the theory and application of 3D QSAR analyses, and on the other, a comprehensive overview of the scope and limitations of these methods is given. The detailed discussion of the present state of the art should enable scientists to further develop and improve these powerful new tools. The greater part of the book is dedicated to the theoretical background of 3D QSAR and to a discussion of CoMFA applications. In addition, various other 3D QSAR approaches and some CoMFA-related methods are described in detail. Thus, the book should be valuable for medicinal, agricultural and theoretical chemists, biochemists and biologists, as well as for other scientists interested in drug design. Its content, starting at a very elementary level and proceeding to the latest methodological results, the strengths and limitations of 3D QSAR approaches, makes the book also appropriate as a text for teaching and for graduate student courses.

Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development

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Publisher : Elsevier
ISBN 13 : 0443186391
Total Pages : 768 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development by : Kunal Roy

Download or read book Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development written by Kunal Roy and published by Elsevier. This book was released on 2023-05-23 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates. Presents chemometrics, cheminformatics and machine learning methods under a single reference Showcases the different structure-based, ligand-based and machine learning tools currently used in drug design Highlights special topics of computational drug design and available tools and databases

Drug Design Strategies

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Author :
Publisher : Royal Society of Chemistry
ISBN 13 : 1849731667
Total Pages : 517 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Drug Design Strategies by : David J. Livingstone

Download or read book Drug Design Strategies written by David J. Livingstone and published by Royal Society of Chemistry. This book was released on 2012 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatics and systems biology. The aim of the book is to show how various facets of the drug discovery process can be addressed in a quantitative fashion (ie: numerical analysis to enable robust predictions to be made). Each chapter includes a brief review of the topic showing the historical development of.