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More About This Title Dynamic Combinatorial Chemistry: In Drug Discovery, Bioorganic Chemistry, and Materials Science
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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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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.
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"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)
"The book edited by Benjamin Miller ... open[s] new horizons showing the first steps from molecular to nanolevel functional objects. These steps are sometime too long and the research strategies should expand the fundamental understanding of complex dynamic structures and properties as it relates to creating products and manufacturing processes.... Within this context, this book covers the most essential discoveries in DCC during the last decade. DCC employing evolutional approaches to produce chemical diversity is expressing a strong fundamental basis which certainly will serve for the development of the next generation of Dynamic Constitutional Systems.... The DCC general principles described in this book and their further elaboration will be guidelines for such future developments. Key questions concerning basic principles and related approaches that have been used in Dynamic combinatorial chemistry in order to control the evolution of dynamic systems are clearly presented by the selected topics of this book. The most revolutionary consequences may reflect the fascinating possibilities offered by selection, evolution, amplification and replication processes."—Dr. Mihai Barboiu, Institut Européen des Membranes, Adaptive Supramolecular Nanosystems Group IEM/UMII
"This book makes an outstanding reference book for molecular recognition, physical organic, pharmaceutical, and supramolecular chemists. It has enough information for one to learn and start practicing in the field, but is also sophisticated enough for the expert to use learn the approaches of their colleagues. Dr. Miller has done an excellent job of bringing the DCC field together in a cohesive and educational fashion. I recommend the book enthusiastically."
—Dr. Eric V. Anslyn, The University of Texas
