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

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

    Dynamic Combinatorial Chemistry: In Drug Discovery, Bioorganic Chemistry, and Materials Science
    by Benjamin L. Miller
    English | 2009 | ISBN: 0470096039 | 265 pages | PDF | 3.48 MB

    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.

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