Industrialization of Drug Discovery: From Target Selection Through Lead Optimization

Diets rich in plant polyphenols or dietary polyphenols are the subject of increasing scientific interest because of their diverse range of health benefits and medicinal uses. This book, Dietary Polyphenols in Human Diseases: Advances and Challenges in Drug Discovery, fills the gap that exists in the current knowledge by presenting the latest information in the area of polyphenol-based drug discovery research.

This book explains the translational aspects of ethnomedicinal plants of different geographical regions including India by explaining the medicinal properties against several diseases, genomic evolution in changing environments, metabolic profiling for biomarker discovery, the role of non-coding RNA in the synthesis of secondary metabolites, genome-wide transcriptome profiling, application of pluripotent stem cells for drug discovery, the importance of high-throughput omics, and genome-editing techniques. In addition, some of the chapters have been designed to describe the role of artificial intelligence, plant database, and network-based drug discovery to explore the medicinal importance of compounds as well as challenges and opportunities in drug discovery from ethnomedicinal plants. The book serves as a great source of information for the students, researchers/scientists of diverse fields such as pharmacognosy, plant physiologists, biotechnologists, and pharmaceutical scientists etc., working in the areas of phytotherapy from ethnomedicinal plants.

This book explains the translational aspects of ethnomedicinal plants of different geographical regions including India by explaining the medicinal properties against several diseases, genomic evolution in changing environments, metabolic profiling for biomarker discovery, the role of non-coding RNA in the synthesis of secondary metabolites, genome-wide transcriptome profiling, application of pluripotent stem cells for drug discovery, the importance of high-throughput omics, and genome-editing techniques. In addition, some of the chapters have been designed to describe the role of artificial intelligence, plant database, and network-based drug discovery to explore the medicinal importance of compounds as well as challenges and opportunities in drug discovery from ethnomedicinal plants. The book serves as a great source of information for the students, researchers/scientists of diverse fields such as pharmacognosy, plant physiologists, biotechnologists, and pharmaceutical scientists etc., working in the areas of phytotherapy from ethnomedicinal plants.

How do scientists design the medicine we use to improve our lives? It turns out that many are happy accidents or overlooked mixtures of carbon and hydrogen that go on to not only improve the lives of people the world over, but become million- and billion-dollar makers for pharmaceutical companies.

The first book in the newly created book series, Computer-Aided Drug Discovery and Design, focuses on the computational aspects of early drug discovery, drug target identification, and validation. It revises current classical paradigms in target and phenotypic-based drug design with still ingrained approximations and concepts and discusses the research in the new network approach concept that include kinetic selectivity and metabolic analysis.