Dynamic Combinatorial Chemistry: In Drug Discovery, Bioorganic Chemistry, and Materials Science (Repost)

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.Content: Chapter 1 Dynamic Combinatorial Chemistry: An Introduction (pages 1–42): Benjamin L. MillerChapter 2 Protein?Directed Dynamic Combinatorial Chemistry (pages 43–82): Michael F. Greaney and Venugopal T. BhatChapter 3 Nucleic Acid?Targeted Dynamic Combinatorial Chemistry (pages 83–117): Peter C. Gareiss and Benjamin L. MillerChapter 4 Complex Self?Sorting Systems (pages 118–154): Soumyadip Ghosh and Lyle IsaacsChapter 5 Chiral Selection in DCC (pages 155–168): Jennifer J. Becker and Michel R. GagneChapter 6 Dynamic Combinatorial Resolution (pages 169–200): Marcus Angelin, Rikard Larsson, Pornrapee Vongvilai, Morakot Sakulsombat and Olof RamstromChapter 7 Dynamic Combinatorial Chemistry and Mass Spectrometry: A Combined Strategy for High Performance Lead Discovery (pages 201–228): Sally?Ann Poulsen and Hoan VuChapter 8 Dynamic Combinatorial Methods in Materials Science (pages 229–260): Takeshi Maeda, Hideyuki Otsuka and Atsushi Takahara