Dynamic Combinatorial Chemistry
In Drug Discovery, Bioorganic Chemistry, and Materials Science
1. Auflage Januar 2010
280 Seiten, Hardcover
Wiley & Sons Ltd
Kurzbeschreibung
This book presents an overview of dynamic combinatorial chemistry (DCC) and fragment-based library methods and how chemists apply them to the problems of lead generation for drug discovery and molecular recognition in bioorganic chemistry and materials science. Chapters cover basic theory, approaches to binding in proteins and small molecules, molecular recognition, catalyst discovery, click chemistry, "SAR by NMR," and analytical chemistry challenges. A single-source reference about modern methods in fragment-based drug discovery and DCC methods and applications, this is a core resource for chemists building structure libraries and designing compounds.
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.
Contributors.
Chapter 1: Dynamic Combinatorial Chemistry: An Introduction (Benjamin L. Miller).
Chapter 2: Protein-Directed Dynamic Combinatorial Chemistry (Michael F. Greaney and Venugopal T. Bhat).
Chapter 3: Nucleic Acid-Targeted Dynamic Combinatorial Chemistry (Peter C. Gareiss and Benjamin L. Miller).
Chapter 4: Complex Self-Sorting Systems (Soumyadip Ghosh and Lyle Isaacs).
Chapter 5: Chiral Selection in DCC (Jennifer J. Becker and Michel R. Gagné).
Chapter 6: Dynamic Combinatorial Resolution (Marcus Angelin, Rikard Larsson, Pornrapee Vongvilai, Morakot Sakulsombat, and Olof Ramström).
Chapter 7: Dynamic Combinatorial Chemistry and Mass Spectrometry: A Combined Strategy for High Performance Lead Discovery (Sally-Ann Poulsen and Hoan Vu).
Chapter 8: Dynamic Combinatorial Methods in Materials Science (Takeshi Maeda, Hideyuki Otsuka, and Atsushi Takahara).
Index.
"The scientific quality of the book is high, and the book can be recommended to novices and experienced researchers that want to explore new terrain in organic synthesis." (ChemMedChem, 2010)"This is an excellent and highly recommended textbook." (Angewandte Chemie International Edition, June 2010)
