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Computational toxicology, 


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Название:  Computational toxicology
ISBN: 9781493978984
Издательство: Springer
Классификация:
ISBN-10: 1493978985
Обложка/Формат: Hardcover
Страницы: 587
Вес: 1.33 кг.
Дата издания: 13.08.2018
Серия: Methods in molecular biology
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 115 illustrations, color; 62 illustrations, black and white; xvi, 587 p. 177 illus., 115 illus. in color.
Размер: 183 x 261 x 41
Читательская аудитория: Professional & vocational
Подзаголовок: Methods and protocols
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

Dedication...

Preface...

Table of Contents...

Contributing Authors...

Part I Where We Are and Where We Are Going To


1. Molecular Descriptors For Structure-Activity Applications: A Hands-On Approach

Francesca Grisoni, Davide Ballabio, Roberto Todeschini, and Viviana Consonni


2. The OECD QSAR Toolbox Starts Its Second Decade

Terry W. Schultz, Robert Diderich, Chanita D. Kuseva, and Ovanes G. Mekenyan


3. QSAR: What Else?

Giuseppina Gini


4. (Q)SARs as Adaptations to REACH Information Requirements

Toni Alasuvanto, Andrea Gissi, Tomasz Sobanski, Panagiotis Karamertzanis, and Mike Rasenberg


Part II Molecular and Data Modeling


5. Machine Learning Methods In Computational Toxicology

Igor I. Baskin


6. Applicability Domain: A Step Toward Confident Predictions And Decidability for QSAR Modeling

Supratik Kar, Kunal Roy, and Jerzy Leszczynski


7. Molecular Similarity In Computational Toxicology

Matteo Floris and Stefania Olla


8. Molecular Docking for Predictive Toxicology

Daniela Trisciuzzi, Domenico Alberga, Francesco Leonetti, Ettore Novellino, Orazio Nicolotti, and Giuseppe F. Mangiatordi


9. Criteria and Application on the use of Non-Testing Methods within a Weight of Evidence Strategy

Anna Lombardo, Giuseppa Raitano, Domenico Gadaleta, and Emilio Benfenati


10. Characterization and Management of Uncertainties in Toxicological Risk Assessment: Examples from the Opinions of the European Food Safety Authority

Alberto Mantovani


Part III Impact in Drug Discovery and Development


11. Computational Toxicology and Drug Discovery

Catrin Hasselgren and Glenn J. Myatt


12. Approaching Pharmacological Space: Events and Components

Giulio Vistoli, Alessandro Pedretti, Angelica Mazzolari, and Bernard Testa


13. Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation

Kirk E. Hevener


14. Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology

Dimitra-Danai Varsou, Spyridon Nikolakopoulos, Andreas Tsoumanis, Georgia Melagraki, and Antreas Afantitis


15. Ion Channels In Drug Discovery and Safety Pharmacology

Paola Imbrici, Orazio Nicolotti, Francesco Leonetti, Diana Conte, and Antonella Liantonio


16. Computational Approaches in Multi-Target Drug Discovery

Luciana Scotti, Hamilton M. Ishiki, Marcelo Cavalcante Duarte, Tiago Branquinho Oliveira, and Marcus T. Scotti


17. Nano-Formulations for Drug Delivery: Safety, Toxicity, and Efficacy

Antonio Lopalco and Nunzio Denora


18. Toxicity Potential Of Nutraceuticals

Ramesh C. Gupta, Ajay Srivastava, and Rajiv Lall


19. Impact of Pharmaceuticals on the Environment: Risk Assessment using QSAR Modeling Approach

Supratik Kar, Kunal Roy, and Jerzy Leszczynski


Part IV Predicting Human Health Toxicology Endpoints


20. (Q)SAR Methods for Predicting Genotoxicity and Carcinogenicity: Scientific Rationale and Regulatory Frameworks

Cecilia Bossa, Romualdo Benigni, Olga Tcheremenskaia, and Chiara Laura Battistelli


21. Stem Cell-Based Methods to Predict Developmental Chemical Toxicity

Hiroki Takahashi, Xian-Yang Qin, Hideko Sone, and Wataru Fujibuchi


22. Predicting Chemically-Induced Skin Sensitisation by using In Chemico/In Vitro Methods

Laura H. Rossi and Janine Ezendam


23. Hepatotoxicity Prediction by Systems Biology Modeling of Disturbed Metabolic Pathways using Gene Expression Data

Oriol Lуpez-Mas



Computational Toxicology

Автор: Brad Reisfeld; Arthur N. Mayeno
Название: Computational Toxicology
ISBN: 1493963260 ISBN-13(EAN): 9781493963263
Издательство: Springer
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Цена: 23058.00 р.
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Описание: 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.

Pharmacokinetic Profiling in Drug Research: Biological, Physicochemical, and Computational Strategies

Автор: Bernard Testa
Название: Pharmacokinetic Profiling in Drug Research: Biological, Physicochemical, and Computational Strategies
ISBN: 3906390357 ISBN-13(EAN): 9783906390352
Издательство: Wiley
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Цена: 35949.00 р.
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Описание: Informatics and robotics are the workhorses of a technological revolution in drug research. On them are based combinatorial chemistry, which yields compounds by the many thousands, and high-throughput bioassays, which screen them for activity. The results are avalanches of `hits`, which invade the databases like swarms of locusts.

Computational Biology

Автор: Tuan Pham
Название: Computational Biology
ISBN: 146142478X ISBN-13(EAN): 9781461424789
Издательство: Springer
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Цена: 28732.00 р.
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Описание: This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Frontiers in Computational Chemistry vol 1

Автор: Zaheer Ul-Haq
Название: Frontiers in Computational Chemistry vol 1
ISBN: 1608058654 ISBN-13(EAN): 9781608058655
Издательство: Elsevier Science
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Цена: 19201.00 р.
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Описание: Frontiers in Computational Chemistry, originally published by Bentham and now distributed by Elsevier, presents the latest research findings and methods in the diverse field of computational chemistry, focusing on molecular modeling techniques used in drug discovery and the drug development process. This includes computer-aided molecular design, drug discovery and development, lead generation, lead optimization, database management, computer and molecular graphics, and the development of new computational methods or efficient algorithms for the simulation of chemical phenomena including analyses of biological activity. In Volume 1, the leading researchers in the field have collected eight different perspectives in the application of computational methods towards drug design to provide an up-to-date rendering of the current field. This volume covers a variety of topics from G protein-coupled receptors, to the use of cheminformatics and bioinformatics, computational tools such as Molecular Mechanics Poisson-Boltzmann Surface Area, protein-protein interactions, the use of computational methods on large biological data sets, various computational methods used to identify pharmaceutically relevant targets, and more.

Frontiers in Computational Chemistry

Автор: Zaheer Ul-Haq
Название: Frontiers in Computational Chemistry
ISBN: 1608059790 ISBN-13(EAN): 9781608059799
Издательство: Elsevier Science
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Цена: 19201.00 р.
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Описание:

"Frontiers in Computational Chemistry," originally published by Bentham and now distributed by Elsevier, presents the latest research findings and methods in the diverse field of computational chemistry, focusing on molecular modeling techniques used in drug discovery and the drug development process. This includes computer-aided molecular design, drug discovery and development, lead generation, lead optimization, database management, computer and molecular graphics, and the development of new computational methods or efficient algorithms for the simulation of chemical phenomena including analyses of biological activity. In Volume 2, the authors continue the compendium with nine additional perspectives in the application of computational methods towards drug design. This volume covers an array of subjects from modern hardware advances that accelerate new antibacterial peptide identification, electronic structure methods that explain how singlet oxygen damages DNA, to QSAR model validation, the application of DFT and DFRT methods on understanding the action of nitrogen mustards, the design of novel prodrugs using molecular mechanics and molecular orbital methods, computational simulations of lipid bilayers, high throughput screening methods, and more.
Brings together a wide range of research into a single collection to help researchers keep up with new methodsUniquely focuses on computational chemistry approaches that can accelerate drug designMakes a solid connection between experiment and computation, and the novel application of computational methods in the fields of biology, chemistry, biochemistry, physics, and biophysics

Bioinformatics and Computational Biology in Drug Discovery and Development

Автор: Loging
Название: Bioinformatics and Computational Biology in Drug Discovery and Development
ISBN: 0521768004 ISBN-13(EAN): 9780521768009
Издательство: Cambridge Academ
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Цена: 9186.00 р.
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Описание: Providing a comprehensive overview of the drug discovery and development pipeline, this book focuses on the integral role that computational biology methods play in this process. Covering technological advances and their relation to drug developmental processes, readers are exposed to new methods of discovery utilising the available technology.

Computational Medicinal Chemistry Set

Название: Computational Medicinal Chemistry Set
ISBN: 1782620915 ISBN-13(EAN): 9781782620914
Издательство: Royal Society of Chemistry
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Цена: 126491.00 р.
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Описание: This set provides the latest information on harnessing quantitative and computational methods, including structure-based design, molecular modelling and simulation, for medicinal chemistry.

In Silico Medicinal Chemistry: Computational Methods to Support Drug Design

Автор: Brown, Brown Nathan
Название: In Silico Medicinal Chemistry: Computational Methods to Support Drug Design
ISBN: 1782621636 ISBN-13(EAN): 9781782621638
Издательство: Royal Society of Chemistry
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Цена: 35693.00 р.
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Описание: Exploring the methodologies and applications ofcomputational tools in drug design, this book is a practical introduction to chemoinformatics, molecular modelling and computational chemistry for researchers.


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