Burger's Medicinal Chemistry and Drug Discovery, 6th Edition

  • Published By:
  • ISBN-10: 0471266949
  • ISBN-13: 9780471266945
  • DDC: 615.19
  • Grade Level Range: College Freshman - College Senior
  • 5531 Pages | eBook
  • Original Copyright 2003 | Published/Released November 2006
  • This publication's content originally published in print form: 2003

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About

Overview

With expanded content from 69 chapters to over 100 chapters, this sixth edition of Burger's Medicinal Chemistry and Drug Discovery includes more than 50% new material. An entire section has been dedicated to cancer research. Areas included are those at the foreground of life science including:

  • Proteomics
  • Genomics
  • Bioinformatics
  • Combinatorial Chemistry
  • High-Throughput Screening
  • Blood Substitutes
  • Allosteric Effectors as Potential Drugs
  • COX Inhibitors
  • Statins
  • High-Throughput Pharmacology
  • and More

Table of Contents

Front Cover.
Half Title Page.
Burger's Medicinal Chemistry and Drug Discovery.
Title Page.
Copyright Page.
Dedication.
Burger Memorial Edition.
Preface.
Opening Remarks: ACS 26th Medicinal Chemistry Symposium.
Contents.
1: History of Quantitative Structure-Activity Relationships.
2: Recent Trends in Quantitative Structure-Activity Relationships.
3: Molecular Modeling in Drug Design.
4: Drug-Target Binding Forces: Advances in Force Field Approaches.
5: Combinatorial Library Design, Molecular Similarity, and Diversity Applications.
6: Virtual Screening.
7: Docking and Scoring Functions/Virtual Screening.
8: Bioinformatics: Its Role in Drug Discovery.
9: Chemical Information Computing Systems in Drug Discovery.
10: Structure-Based Drug Design.
11: X-Ray Crystallography in Drug Discovery.
12: NMR and Drug Discovery.
13: Mass Spectrometry and Drug Discovery.
14: Electron Cryomicroscopy of Biological Macromolecules.
15: Peptidomimetics for Drug Design.
16: Analog Design.
17: Approaches to the Rational Design of Enzyme Inhibitors.
18: Chirality and Biological Activity.
19: Structural Concepts in the Prediction of the Toxicity of Therapeutical Agents.
20: Natural Products as Leads for New Pharmaceuticals.