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Drug Repurposing, Cavalla David


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Цена: 45923.00р.
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При оформлении заказа до: 2025-07-23
Ориентировочная дата поставки: конец Сентября - начало Октября
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Автор: Cavalla David
Название:  Drug Repurposing
ISBN: 9781788019033
Издательство: Royal Society of Chemistry
Издательство: Royal Society of Chemistry
Классификация:


ISBN-10: 1788019032
Обложка/Формат: Hardback
Страницы: 350
Вес: 0.67 кг.
Дата издания: 09.02.2022
Серия: Drug discovery
Язык: English
Иллюстрации: No
Размер: 163 x 240 x 25
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Organic chemistry,Pharmaceutical technology,Pharmacology, BUSINESS & ECONOMICS / Industries / Pharmaceutical & Biotechnology,MEDICAL / Pharmacology,SCIENCE / Chemistry / Organic
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Поставляется из: США
Описание: Drug Repurposing provides an ideal introduction to the field of drug repositioning and repurposing with contributions from world-renowned experts culminating in an excellent resource for any drug discovery or medicinal chemist.


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
Computational methods for drug repurposing

Название: Computational methods for drug repurposing
ISBN: 1493989545 ISBN-13(EAN): 9781493989546
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction.

Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.
Drug Repurposing for Emerging Infectious Diseases and Cancer

Автор: Sobti
Название: Drug Repurposing for Emerging Infectious Diseases and Cancer
ISBN: 9811953988 ISBN-13(EAN): 9789811953989
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book presents drug repurposing strategies to combat infectious diseases and cancer. It discusses key experimental and in silico approaches for modern drug repositioning, including signature matching, molecular docking, genome-wide associated studies, and network-based approaches aided by artificial intelligence. Further, the book presents various computational and experimental strategies for better understanding disease mechanisms and identify repurposed drug candidates for personalized pharmacotherapy. It also explores the databases for drug repositioning, summarizes the approaches taken for drug repositioning, and highlights and compares their characteristics and challenges. Towards the end, the book discusses challenges and limitations encountered in computational drug repositioning.


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