Dynamic Combinatorial Chemistry (PDF)
In Drug Discovery, Bioorganic Chemistry, and Materials Science
(Sprache: Englisch)
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...
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...
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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.
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.
Inhaltsverzeichnis zu „Dynamic Combinatorial Chemistry (PDF)“
Preface. 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.
Autoren-Porträt
Benjamin L. Miller is an Associate Professor of Dermatology, Biomedical Engineering, and Biochemistry and Biophysics at the University of Rochester. In addition to his academic credentials, Dr. Miller has industry consulting experience as the founder of Adarza BioSystems and Lighthouse Biosciences.
Bibliographische Angaben
- 2010, 1. Auflage, 280 Seiten, Englisch
- Herausgegeben: Benjamin L. Miller
- Verlag: John Wiley & Sons
- ISBN-10: 0470551542
- ISBN-13: 9780470551547
- Erscheinungsdatum: 12.01.2010
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