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Dynamic Combinatorial Chemistry

In Drug Discovery, Bioorganic Chemistry, and Materials Science

By: Benjamin L. Miller

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eText | 30 December 2009 | Edition Number 1

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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.