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

by Benjamin F. Miller (Editor)

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

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.

280 pages, Hardcover

First published December 2, 2009

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