In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications, Claudio N. Cavasotto
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: 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: 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.
Описание: With a focus on practical applications of biophysical techniques, Biophysical Methods for Biotherapeutics helps formulation and analytical scientists in pharma and biotech better understand and use biophysical methods. Author Tapan K.
Автор: Richard T. Addo Название: Ocular Drug Delivery: Advances, Challenges and Applications ISBN: 3319476890 ISBN-13(EAN): 9783319476896 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The eye is a computerized system that has been designed for self-defense, and these defense mechanisms create challenges in administration of medications to the eye. Therefore, ocular drug delivery has been a major challenge to drug delivery researchers. There are on-going studies, in search of treatment especially for the diseases affecting the posterior segment of the eye. This book gives and overview of the background of ocular drug delivery and is unique for pharmacists, medical practitioners, students and drug delivery researchers.
Автор: Roy, Kunal Название: In Silico Drug Design ISBN: 0128161256 ISBN-13(EAN): 9780128161258 Издательство: Elsevier Science Рейтинг: Цена: 23075.00 р. 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
Описание: This Brief highlights different approaches used to create stable cellulase and its use in different fields. In order to improve its thermal stability, it can be engineered using a variety of approaches, such as hydrophobic interactions, aromatic interactions, hydrogen bonds, ion pairs and disulfide bridge creation.
Описание: Silicon Carbide (SiC) is a wide-band-gap semiconductor biocompatible material that has the potential to advance advanced biomedical applications. SiC devices offer higher power densities and lower energy losses, enabling lighter, more compact and higher efficiency products for biocompatible and long-term in vivo applications ranging from heart stent coatings and bone implant scaffolds to neurological implants and sensors. The main problem facing the medical community today is the lack of biocompatible materials that are also capable of electronic operation. Such devices are currently implemented using silicon technology, which either has to be hermetically sealed so it cannot interact with the body or the material is only stable in vivo for short periods of time. . For long term use (permanent implanted devices such as glucose sensors, brain-machine-interface devices, smart bone and organ implants) a more robust material that the body does not recognize and reject as a foreign (i.e., not organic) material is needed. Silicon Carbide has been proven to be just such a material and will open up a whole new host of fields by allowing the development of advanced biomedical devices never before possible for long-term use in vivo. . . This book not only provides the materials and biomedical engineering communities with a seminal reference book on SiC that they can use to further develop the technology, it also provides a technology resource for medical doctors and practitioners who are hungry to identify and implement advanced engineering solutions to their everyday medical problems that currently lack long term, cost effective solutions.
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: 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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