Publisher's Synopsis
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:
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Basic theory
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Approaches to binding in proteins and nucleic acids
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Molecular recognition
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Self-sorting
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Catalyst discovery
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Materials discovery
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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.
