Learn how AI and data science are upending the worlds of biology and medicine
In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic discovery and toward engineered medicines and curative therapies.
In this fascinating book, you'll discover:
An overview of the rise of data science methods and the paradigm shift in biology that led to the in silico revolution
An outline of the fundamental breakthroughs in AI and deep learning and their applications across medicine
A compelling argument for the notion that AI and biotechnology tools will rapidly accelerate the development of therapeutics
A summary of innovative breakthroughs in biotechnology with a focus on gene editing and cell reprogramming technologies for therapeutic development
A guide to the startup landscape in AI in medicine, revealing where investments are poised to shape the innovation base for the pharmaceutical industry
Perfect for anyone with an interest in scientific topics and technology, In Silico Dreams also belongs on the bookshelves of decision-makers in a wide range of industries, including healthcare, technology, venture capital, and government.
Автор: Egbuna, Chukwuebuka Название: Coronavirus Drug Discovery ISBN: 0323955789 ISBN-13(EAN): 9780323955782 Издательство: Elsevier Science Рейтинг: Цена: 196510.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1493936077 ISBN-13(EAN): 9781493936076 Издательство: Springer Рейтинг: Цена: 167700.00 T 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: Emilio Benfenati Название: In Silico Methods for Predicting Drug Toxicity ISBN: 1493980939 ISBN-13(EAN): 9781493980932 Издательство: Springer Рейтинг: Цена: 102480.00 T 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
&n
Автор: Sandhya Kortagere Название: In Silico Models for Drug Discovery ISBN: 1627033416 ISBN-13(EAN): 9781627033411 Издательство: Springer Рейтинг: Цена: 102480.00 T 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: 149060.00 T 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.
Автор: Roy, Kunal Название: In Silico Drug Design ISBN: 0128161256 ISBN-13(EAN): 9780128161258 Издательство: Elsevier Science Рейтинг: Цена: 153830.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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
Название: In Silico Drug Discovery & Design, ISBN: 148221783X ISBN-13(EAN): 9781482217834 Издательство: Taylor&Francis Рейтинг: Цена: 193950.00 T 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: 260870.00 T 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.
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 Рейтинг: Цена: 93910.00 T 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: Sandhya Kortagere Название: In Silico Models for Drug Discovery ISBN: 1493962973 ISBN-13(EAN): 9781493962976 Издательство: Springer Рейтинг: Цена: 111790.00 T 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: 149060.00 T 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.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
