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

E-Book Overview

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.Content: Chapter 1 Dynamic Combinatorial Chemistry: An Introduction (pages 1–42): Benjamin L. Miller Chapter 2 Protein?Directed Dynamic Combinatorial Chemistry (pages 43–82): Michael F. Greaney and Venugopal T. Bhat Chapter 3 Nucleic Acid?Targeted Dynamic Combinatorial Chemistry (pages 83–117): Peter C. Gareiss and Benjamin L. Miller Chapter 4 Complex Self?Sorting Systems (pages 118–154): Soumyadip Ghosh and Lyle Isaacs Chapter 5 Chiral Selection in DCC (pages 155–168): Jennifer J. Becker and Michel R. Gagne Chapter 6 Dynamic Combinatorial Resolution (pages 169–200): Marcus Angelin, Rikard Larsson, Pornrapee Vongvilai, Morakot Sakulsombat and Olof Ramstrom Chapter 7 Dynamic Combinatorial Chemistry and Mass Spectrometry: A Combined Strategy for High Performance Lead Discovery (pages 201–228): Sally?Ann Poulsen and Hoan Vu Chapter 8 Dynamic Combinatorial Methods in Materials Science (pages 229–260): Takeshi Maeda, Hideyuki Otsuka and Atsushi Takahara


E-Book Content

Dynamic Combinatorial Chemistry Dynamic Combinatorial Chemistry In Drug Discovery, Bioorganic Chemistry, and Materials Science Edited by Benjamin L. Miller University of Rochester Rochester, New York Copyright © 2010 by John Wiley & Sons, Inc. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. All rights reserved. Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and
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