Screen LibraryProtein-ligand interactions
Innovative and forward-looking, this volume focuses on recent achievements in this rapidly progressing field and looks at future potential for development. The first part provides a basic understanding of the factors governing protein-ligand interaction, followed by a comparison of the four key expe...
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| Group Author: | |
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| Published: |
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| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
Methods and principles in medicinal chemistry ;
v. 53 |
| Subjects: | |
| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9783527645947 |
| Summary: |
Innovative and forward-looking, this volume focuses on recent achievements in this rapidly progressing field and looks at future potential for development. The first part provides a basic understanding of the factors governing protein-ligand interaction, followed by a comparison of the four key experimental methods (calorimetry, surface plasmon resonance, NMR and X-ray crystallography) used in generating interaction data. The second half of the book is devoted to in-silico methods of modeling and predicting molecular recognition and binding. Here, as elsewhere in the book, emphasis is placed |
| Item Description: | Acknowledgments. |
| Carrier Form: | 1 online resource (xx, 339 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783527645978 (electronic bk.) 3527645977 (electronic bk.) 3527329668 9783527329663 9781280662898 (MyiLibrary) 1280662891 (MyiLibrary) |
| Index Number: | QP551 |
| CLC: | Q51-3 |
| Contents: |
Protein-Ligand Interactions; Contents; List of Contributors; Preface; A Personal Foreword; Part I: Binding Thermodynamics; 1 Statistical Thermodynamics of Binding and Molecular Recognition Models; 1.1 Introductory Remarks; 1.2 The Binding Constant and Free Energy; 1.3 A Statistical Mechanical Treatment of Binding; 1.3.1 Binding in a Square Well Potential; 1.3.2 Binding in a Harmonic Potential; 1.4 Strategies for Calculating Binding Free Energies; 1.4.1 Direct Association Simulations; 1.4.2 The Quasi-Harmonic Approximation; 1.4.3 Estimation of Entropy Contributions to Binding. 1.4.4 The MoleculeMechanics Poisson-Boltzmann Surface AreaMethod1.4.5 Thermodynamic Work Methods; 1.4.6 Ligand Decoupling; 1.4.7 Linear Interaction Methods; 1.4.8 Salt Effects on Binding; 1.4.9 Statistical Potentials; 1.4.10 Empirical Potentials; References; 2 Some Practical Rules for the Thermodynamic Optimization of Drug Candidates; 2.1 Engineering Binding Contributions; 2.2 Eliminating Unfavorable Enthalpy; 2.3 Improving Binding Enthalpy; 2.4 Improving Binding Affinity; 2.5 Improving Selectivity; 2.6 Thermodynamic Optimization Plot; Acknowledgments; References. 3 Enthalpy-Entropy Compensation as Deduced from Measurements of Temperature Dependence3.1 Introduction; 3.2 The Current Status of Enthalpy-Entropy Compensation; 3.3 Measurement of the Entropy and Enthalpy of Activation; 3.4 An Example; 3.5 The Compensation Temperature; 3.6 Effect of High Correlation on Estimates of Entropy and Enthalpy; 3.7 Evolutionary Considerations; 3.8 Textbooks; References; Part II: Learning from Biophysical Experiments; 4 Interaction Kinetic Data Generated by Surface Plasmon Resonance Biosensors and the Use of Kinetic Rate Constants in Lead Generation and Optimization. 4.1 Background4.2 SPR Biosensor Technology; 4.2.1 Principles; 4.2.2 Sensitivity; 4.2.3 Kinetic Resolution; 4.2.4 Performance for Drug Discovery; 4.3 From Interaction Models to Kinetic Rate Constants and Affinity; 4.3.1 Determination of Interaction Kinetic Rate Constants; 4.3.2 Determination of Affinities; 4.3.3 Steady-State Analysis versus Analysis of Complete Sensorgrams; 4.4 Affinity versus Kinetic Rate Constants for Evaluation of Interactions; 4.5 From Models to Mechanisms; 4.5.1 Irreversible Interactions; 4.5.2 Induced Fit; 4.5.3 Conformational Selection. 4.5.4 Unified Model for Dynamic Targets4.5.5 Heterogeneous Systems/Parallel Reactions; 4.5.6 Mechanism-Based Inhibitors; 4.5.7 Multiple Binding Sites and Influence of Cofactors; 4.6 Structural Information; 4.7 The Use of Kinetic Rate Constants in Lead Generation and Optimization; 4.7.1 Structure-Kinetic Relationships; 4.7.2 Selectivity/Specificity and Resistance; 4.7.3 Chemodynamics; 4.7.4 Thermodynamics; 4.8 Designing Compounds with Optimal Properties; 4.8.1 Correlation between Kinetic and Thermodynamic Parameters and Pharmacological Efficacy; 4.8.2 Structural Modeling; 4.9 Conclusions. |