Dynamic Combinatorial Chemistry

Dynamic Combinatorial Chemistry§§In Drug Discovery, Bioorganic Chemistry, and Materials Science§§Edited by§§Benjamin L. Miller§§Effective techniques for applying Dynamic Combinatorial Chemistry§§In a relatively short period, Dynamic Combinatorial Chemistry (DCC) has grown from proof-of-concept experiments in a few isolated labs to a broad conceptual framework with applications to an exceptional range of problems in molecular recognition, lead compound identification, catalyst design, nanotechnology, polymer science, and others. Bringing together a group of respected experts, this overview explains how chemists can apply DCC and fragment-based library methods to lead generation for drug discovery and molecular recognition in bioorganic chemistry and materials science.§§Chapters cover:§ Basic theory§ Approaches to binding in proteins and nucleic acids§ Molecular recognition§ Self-sorting§ Catalyst discovery§ Materials discovery§ Analytical chemistry challenges§§A comprehensive, single-source reference about DCC methods and applications including aspects of fragment-based drug discovery, this is a core reference that will spark the development of new solutions and strategies for chemists building structure libraries and designing compounds and materials.This book presents an overview of dynamic combinatorial chemistry (DCC) and fragment-based library methods and how chemists apply them to the problems of lead generation for drug discovery and molecular recognition in bioorganic chemistry and materials science. Chapters cover basic theory, approaches to binding in proteins and small molecules, molecular recognition, catalyst discovery, click chemistry, "SAR by NMR," and analytical chemistry challenges. A single-source reference about modern methods in fragment-based drug discovery and DCC methods and applications, this is a core resource for chemists building structure libraries and designing compounds.