B. Patwardhan – Innovative Approaches in Drug Discovery (2017)

Автор: B. Patwardhan
Название книги: Innovative Approaches in Drug Discovery
Формат: PDF
Жанр: Медицина
Страницы: 465
Качество: Изначально компьютерное, E-book

Despite considerable technological advances, the pharmaceutical industry is experiencing a severe innovation deficit, especially in the discovery of new drugs. Innovative Approaches in Drug Discovery: Ethnopharmacology, Systems Biology and Holistic Targeting provides a critical review and analysis of health, disease and medicine, and explores possible reasons behind the present crisis in drug discovery. The authors illustrate the benefits of systems biology and pharmacogenomics approaches, and advocate the expansion from disease-centric discovery to person-centric therapeutics involving holistic, multi-target, whole systems approaches. This book lays a path for reigniting pharmaceutical innovation through a disciplined reemergence of pharmacognosy, embracing open innovation models and collaborative, trusted public-private partnerships. With unprecedented advances made in the development of biomedically-relevant tools and technologies, the need is great and the time is now for a renewed commitment towards expanding the repertoire of medicines. By incorporating real-life examples and state-of-the-art reviews, this book provides valuable insights into the discovery and development strategies for professionals, academicians, and students in the pharmaceutical sciences.
Table of Contents
Need for Innovative Approaches
Why and How Drugs Fail
Holistic Drug Targeting
Reverse Pharmacology
Network Pharmacology and Multi-target Formulation
Genome-driven Drug Discovery Process
Pharmacogenomics
Transcriptomics and Epigenomics
Proteomics
Chemical Informatics
Vaccines and Immunodrugs Discovery
Curcumin as an example of holistic targeting agent
New Approaches to Quality and Safety of Traditional Medical Products
Lifestyle and Behavioral Approaches
Collaborative Strategies for Future Drug Discovery
Righting the ship: The Data Reproducibility Conundrum