Bøger af Holly Lambert

Medicinal chemistry is the study of molecular aspects of drug actions. It encompasses molecules, their structures, designs, and their pharmacological activities. A molecule's potency is determined by its structure. The structural activity relationship is a sub-branch of medicinal chemistry that estimates a molecule's potential to display any pharmacological activity. Computational methods play a significant role in the development of molecules that are therapeutically significant. These methods can be categorized into ligand-based and structure-based methods. Ligand-based methods make use of ligand information for the prediction of activity based on the similarities and dissimilarities compared to previously known active ligands. Generally utilized ligand-based methods include quantitative structure-activity relationships, molecular descriptors, and ligand-based pharmacophores. These methods are analogous towards high-throughput screening, where information regarding ligand and target structure both is important. Structure-based methods include ligand design methods, pharmacophore, and ligand docking. This book contains some path-breaking studies in the field of medicinal chemistry. It will provide interesting topics for research on the computational methods for drug design, which interested readers can take up. This book will serve as a reference source for a broad spectrum of readers.

Modern drug discovery and design programs use computer aided drug discovery (CADD) for identifying and optimizing bioactive compounds used for developing new drugs. It is also known by alternative terms such as in-silico pharmacology and computational therapeutics. CADD approaches are vital in identifying viable drug candidates at a low cost. These approaches are usually divided into two types, namely, structure-based and ligand-based drug design approaches. Both these approaches are used to identify suitable lead molecules. These computational methods are useful for reducing the use of animal models in pharmacological research, assisting in the rational design of novel and safe drug candidates, repositioning marketed drugs, and assisting medicinal chemists and pharmacologists throughout the drug discovery process. This book is a compilation of chapters that discuss the most vital concepts and emerging trends in the usage of computers for drug discovery and design. It will provide comprehensive knowledge to the readers.

One of the first of its kind, focusing on all aspects of puzzling.