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Image of - Dynamic Combinatorial Chemistry In Drug Discovery | Bioorganic Chemistry and Materials Science | Hardcover
Dynamic Combinatorial Chemistry In Drug Discovery | Bioorganic Chemistry and Materials Science | Hardcover

Dynamic Combinatorial Chemistry In Drug Discovery | Bioorganic Chemistry and Materials Science | Hardcover

by Miller

Effective techniques for applying Dynamic Combinatorial ChemistryIn 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 theoryApproaches to binding in proteins and nucleic acidsMolecular recognitionSelf-sortingCatalyst discoveryMaterials discoveryAnalytical chemistry challengesA 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.

Highlights

  • binding-icon

    9780470096031

    ISBN

  • binding-icon

    Miller

    Author

  • binding-icon

    280

    Pages

  • binding-icon

    215 gm

    Weight

  • langauage-icon

    English

    Language

  • date-icon

    2010

    Year

  • edition-icon

    1st Edition

    Edition

  • binding-icon

    Hardcover

    Binding

₹8932

₹9925

Effective techniques for applying Dynamic Combinatorial ChemistryIn 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 theoryApproaches to binding in proteins and nucleic acidsMolecular recognitionSelf-sortingCatalyst discoveryMaterials discoveryAnalytical chemistry challengesA 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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