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In Silico Methods for Predicting Drug Toxicity, Emilio Benfenati


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Автор: Emilio Benfenati
Название:  In Silico Methods for Predicting Drug Toxicity
ISBN: 9781493980932
Издательство: Springer
Классификация:
ISBN-10: 1493980939
Обложка/Формат: Paperback
Страницы: 534
Вес: 1.05 кг.
Дата издания: 2016
Серия: Methods in Molecular Biology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 2 tables, color; 51 tables, black and white; 156 illustrations, color; 37 illustrations, black and white; xi, 534 p. 193 illus., 156 illus. in color.
Размер: 257 x 180 x 35
Читательская аудитория: General (us: trade)
Основная тема: Biomedicine
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

1. QSAR Methods

Giuseppina Gini

Part I: Modeling a Pharmaceutical in the Human Body

2. In Silico 3D-Modelling of Binding Activities

Stefano Moro, Mattia Sturlese, Antonella Ciancetta, and Matteo Floris

3. Modeling Pharmacokinetics

Frederic Y. Bois and Cйline Brochot

4. Modeling ADMET

Jayeeta Ghosh, Michael S. Lawless, Marvin Waldman, Vijay Gombar, and Robert Fraczkiewicz

Part II: The Applications of In Silico Models for the Different Endpoints

5. In Silico Prediction of Chemically-Induced Mutagenicity: How to Use QSAR Models and Interpret Their Results

Enrico Mombelli, Giuseppa Raitano, and Emilio Benfenati

6. In Silico Methods for Carcinogenicity Assessment

Azadi Golbamaki and Emilio Benfenati

7. VirtualToxLab: Exploring the Toxic Potential of Rejuvenating Substances Found in Traditional Medicines

Martin Smiesko and Angelo Vedani

8. In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results

Marco Marzo, Alessandra Roncaglioni, Sunil Kulkarni, Tara S. Barton-Maclaren, and Emilio Benfenati

9. In Silico Models for Repeated Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs

Fabiola Pizzo and Emilio Benfenati

10. In Silico Models for Acute Systemic Toxicity

Julien Burton, Andrew P. Worth, Ivanka Tsakovska, and Antonia Diukendjieva

11. In Silico Models for Hepatotoxicity

Mark Hewitt and Katarzyna Przybylak

12. In Silico Models for Ecotoxicity of Pharmaceuticals

Kunal Roy and Supratik Kar

13. Use of Read-Across Tools

Serena Manganelli and Emilio Benfenati

Part III: The Scientific and Society Challenges

14. Adverse Outcome Pathways as Tools to Assess Drug-Induced Toxicity

Mathieu Vinken

15. A Systems Biology Approach for Identifying Hepatotoxicant Groups Based on Similarity in Mechanisms of Action and Chemical Structure

Dennie G.A.J. Hebels, Axel Rasche, Ralf Herwig, Gerard J.P. van Westen, Danyel G.J. Jennen, and Jos C.S. Kleinjans

16. In Silico Study of In Vitro GPCR Assays by QSAR Modeling

Kamel Mansouri and Richard S. Judson

17. Taking Advantage of Databases

&n



In Silico Methods for Predicting Drug Toxicity

Автор: Benfenati
Название: In Silico Methods for Predicting Drug Toxicity
ISBN: 1493936077 ISBN-13(EAN): 9781493936076
Издательство: Springer
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Цена: 25155.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research.

In Silico Models for Drug Discovery

Автор: Sandhya Kortagere
Название: In Silico Models for Drug Discovery
ISBN: 1493962973 ISBN-13(EAN): 9781493962976
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This Methods in Molecular Biology (TM) book surveys in silico models, offering techniques to derive novel antimicrobial targets and methods for computing binding energies of drugs to their target proteins, plus protocols, materials lists, known pitfalls and more.

In Silico Models for Drug Discovery

Автор: Sandhya Kortagere
Название: In Silico Models for Drug Discovery
ISBN: 1627033416 ISBN-13(EAN): 9781627033411
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This Methods in Molecular Biology (TM) book surveys in silico models, offering techniques to derive novel antimicrobial targets and methods for computing binding energies of drugs to their target proteins, plus protocols, materials lists, known pitfalls and more.

In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications

Автор: Claudio N. Cavasotto
Название: In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications
ISBN: 1138747580 ISBN-13(EAN): 9781138747586
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.

In Silico Drug Discovery & Design,

Название: In Silico Drug Discovery & Design,
ISBN: 148221783X ISBN-13(EAN): 9781482217834
Издательство: Taylor&Francis
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Цена: 29093.00 р.
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Описание: This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.

In Silico Drug Design

Автор: Roy, Kunal
Название: In Silico Drug Design
ISBN: 0128161256 ISBN-13(EAN): 9780128161258
Издательство: Elsevier Science
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Цена: 23075.00 р.
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Описание:

In Silico Drug Design: Repurposing Techniques and Methodologies explores the application of computational tools that can be utilized for this approach. The book covers theoretical background and methodologies of chem-bioinformatic techniques and network modeling and discusses the various applied strategies to systematically retrieve, integrate and analyze datasets from diverse sources. Other topics include in silico drug design methods, computational workflows for drug repurposing, and network-based in silico screening for drug efficacy. With contributions from experts in the field and the inclusion of practical case studies, this book gives scientists, researchers and R&D professionals in the pharmaceutical industry valuable insights into drug design.

  • Discusses the theoretical background and methodologies of useful techniques of cheminformatics and bioinformatics that can be applied for drug repurposing
  • Offers case studies relating to the in silico modeling of FDA-approved drugs for the discovery of antifungal, anticancer, antiplatelet agents, and for drug therapies against diseases
  • Covers tools and databases that can be utilized to facilitate in silico methods for drug repurposing

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