In Silico Technologies in Drug Target Identification and Validation, Leon, Darryl
Автор: Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1493936077 ISBN-13(EAN): 9781493936076 Издательство: Springer Рейтинг: 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.
Автор: J?rgen Moll; Sebastian Carotta Название: Target Identification and Validation in Drug Discovery ISBN: 1493991442 ISBN-13(EAN): 9781493991440 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition book explores breakthrough technologies in the field of drug target identification and validation. The volume emphasizes particularly revolutionary technologies, such as CRISPR-related screening, “big data,” and in silico approaches, as well as in vivo applications of CRISPR and best uses of animal models in drug development. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Fully updated and authoritative, Target Identification and Validation in Drug Discovery: Methods and Protocols, Second Edition is an ideal guide for molecular and cellular biologists, pharmacologists, pathologists, bioinformaticians, clinical researchers, or investigators, as well as experts in other fields that need a quick overview of these state-of-the-art technologies.
Автор: Goodnow, Robert Название: Platform Technologies in Drug Discovery and Validation ISBN: 0128130695 ISBN-13(EAN): 9780128130698 Издательство: Elsevier Science Рейтинг: Цена: 23244.00 р. Наличие на складе: Поставка под заказ.
Описание:
Platform Technologies in Drug Discovery and Validation, Volume 50, the latest release in the Annual Reports in Medicinal Chemistry series, provides timely and critical reviews of important topics in medicinal chemistry, with an emphasis on emerging topics in the biological sciences. Topics covered in this new volume include DELT, Oligos: ASO, siRNA, CRISPR, Micro-fluidic chemistry, High throughput screening, Kinase-centric computational drug development, Virtual Screening, Phenotypic screening, PROTACS, Chemical Biology, Fragment-based lead generation, Antibody-Drug Conjugates, Antibody-recruiting small molecules, Deuteration, and Peptides.
Автор: Egbuna, Chukwuebuka Название: Coronavirus Drug Discovery ISBN: 0323955789 ISBN-13(EAN): 9780323955782 Издательство: Elsevier Science Рейтинг: Цена: 29476.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Emilio Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1493980939 ISBN-13(EAN): 9781493980932 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 SilicoModels 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
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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.
Автор: Benfenati Emilio Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1071619594 ISBN-13(EAN): 9781071619599 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological.
Название: In Silico Drug Discovery & Design, ISBN: 148221783X ISBN-13(EAN): 9781482217834 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.
Автор: Carsten Ehrhardt; Kwang-Jin Kim Название: Drug Absorption Studies ISBN: 1489977546 ISBN-13(EAN): 9781489977540 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the last 15 years, a great number of cell- or tissue-based in vitro models have been introduced into the biopharmaceutics arena. These models mimic the different biological barriers that a drug has to overcome to finally reach its target organ/cell/receptor. These in vitro models have been found very useful in not only characterising the permeability behaviour of drugs molecules in epithelial and endothelial tissues, but also studying drug delivery systems for improved delivery and enhanced absorption. Compared to the complex in vivo situation, in vitro models offer a fast, convenient approach with cost advantages most of times. Most importantly, they can be standardised and automatised to be applicable to the high-throughput screening. Starting at the molecular level of studies, continuing with cell monolayer models (both primary and cell lines) and in situ techniques as a final testing format, the book provides a practical approach to contemporary in vitro techniques for drug absorption studies. In addition, chapters on high-throughput assays, in vitro-in vivo correlation, bioinformatics and regulatory issues are covered, giving a comprehensive overview of available models and techniques. Moreover, an appendix comprised with a number of practical protocols is available online, updated as needed, should prove very helpful to apply the techniques directly to the benchside.
Описание: This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.
Автор: Sandhya Kortagere Название: In Silico Models for Drug Discovery ISBN: 1493962973 ISBN-13(EAN): 9781493962976 Издательство: Springer Рейтинг: 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.
Автор: Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1071619624 ISBN-13(EAN): 9781071619629 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.
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