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Observing computational chemistry's proven value to the introduction of new medicines, Computational Medicinal Chemistry for Drug Discovery offers the techniques most frequently utilized by industry and academia for ligand design. Featuring contributions from more than 50 preeminent scientists, this book surveys molecular structure computation, intermolecular behavior, ligand-receptor interaction, and modeling. It also examines molecular mechanics, semi-empirical methods, wave function-based quantum chemistry, density functional theory, 3-D structure generation, and hybrid methods.
This text investigates the application of computational methods to accelerate and refine the process of ligand design in modern drug discovery. Edited by Joseph P. Lynch III, the book compiles contributions from over 50 leading scientists to provide a comprehensive survey of the theoretical and practical tools currently employed in both industrial and academic research settings. It establishes a rigorous framework for understanding how molecular modeling and quantum chemistry inform the development of new therapeutic agents.
What You Will Find
Experts identify this volume as a significant reference for researchers seeking to integrate computational techniques into their drug discovery workflows. Readers frequently note the technical density of the prose, which serves as a foundational resource for practitioners in the field of medicinal chemistry.
Page Count:
1169
Publication Date:
2003-01-01
Publisher:
CRC Press
ISBN-10:
0203913396
ISBN-13:
9780203913390
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