Protein-Ligand InteractionsInnovative 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 interactions, followed by a comparison of key experimental methods (calorimetry, surface plasmon resonance, NMR) used in generating interaction data. The second half of the book is devoted to insilico methods of modeling and predicting molecular recognition and binding, ranging from first principles-based to approximate ones. Here, as elsewhere in the book, emphasis is placed on novel approaches and recent improvements to established methods. The final part looks at unresolved challenges, and the strategies to address them. With the content relevant for all drug classes and therapeutic fields, this is an inspiring and often-consulted guide to the complexity of protein-ligand interaction modeling and analysis for both novices and experts. |
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Contents
Some Practical Rules for the Thermodynamic Optimization | 23 |
EnthalpyEntropy Compensation as Deduced from Measurements | 33 |
Learning from Biophysical Experiments | 45 |
NMR Methods for the Determination of ProteinLigand Interactions | 71 |
Modeling ProteinLigand Interactions | 99 |
Quantum Mechanics in StructureBased Ligand Design | 121 |
Hydrophobic Association and VolumeConfined | 145 |
Implicit Solvent Models and Electrostatics in Molecular Recognition | 171 |
Ligand and Receptor Conformational Energies | 191 |
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activity addition American Chemical Society analysis applications approach association atoms binding affinity binding free energy Biology bound changes charges combination compared complex compounds Computational Computational Chemistry conformational constant contributions correlation Current depends derived determination docking domain drug drug design drug discovery effects electrostatic empirical entropy estimate example experimental experiments Figure force field fragment free energy calculations groups hydrophobic identify important improved inhibitors interactions involved Journal of Chemical Journal of Medicinal Journal of Physical lead ligand binding limited mechanics Medicinal Chemistry methods molecular Nature obtained optimization performed Physical Chemistry polar potential prediction properties protein protein–ligand quantum quantum mechanical range receptor Reviews sampling Sciences scoring functions screening selection SH2 domain simulations solution solvation solvent structure studies surface theory thermodynamic values virtual water molecules