Molecular modeling : basic principles and applications / / Hans-Dieter Höltje and Gerd Folkers |
Autore | Höltje Hans-Dieter |
Pubbl/distr/stampa | Weinheim, Germany ; ; New York, New York : , : John Wiley & Sons, , [1997] |
Descrizione fisica | 1 online resource (209 p.) |
Disciplina | 572/.33/0113 |
Collana | Methods and principles in medicinal chemistry |
Soggetto topico |
Molecules - Models - Computer simulation
Ligand binding (Biochemistry) - Computer simulation Biomolecules - Structure - Computer simulation Drugs - Design - Computer simulation |
ISBN |
1-281-75846-9
9786611758462 3-527-61477-X 3-527-61476-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Molecular Modeling; Preface; A Personal Foreword; Contents; 1 Introduction; 1.1 Modern History of Molecular Modeling; 1.2 Do Today's Molecular Modeling Methods Illustrate only the Lukretian World?; 1.3 What are Models Used for?; 1.4 Molecular Modeling Uses All FourTypes for Model Building; 1.5 The Final Step is Design; 1.6 The Scope of the Book; 2 Small Molecules; 2.1 Generation of 3D Coordinates; 2.1.1 Crystal Data; 2.1.2 Fragment Libraries; 2.1.3 Sketch Approach; 2.2 Computational Tools for Geometry Optimization; 2.2.1 Force Fields; 2.2.2 Geometry Optimization
2.2.3 Energy-Minimizing Procedures2.2.3.1 Steepest Descent Minimizer; 2.2.3.2 Conjugate Gradient Method; 2.2.3.3 Newton-Raphson Minimizer; 2.2.4 Use of Charges, Solvation Effects; 2.2.5 Quantum Mechanical Methods; 2.2.5.1 Ab initio Methods; 2.2.5.2 Semiempirical Molecular Orbital Methods; 2.3 Conformational Analysis; 2.3.1 Conformational Analysis Using Systematic Search Procedures; 2.3.2 Conformational Analysis Using Monte Carlo Methods; 2.3.3 Conformational Analysis Using Molecular Dynamics; 2.4 Determination of Molecular Interaction Potentials 2.4.1 Molecular Electrostatic Potentials (MEPs)2.4.1.1 Methods for Calculating Atomic Point Charges; 2.4.1.2 Methods for Generating MEPs; 2.4.2 Molecular Interaction Fields; 2.4.2.1 Calculation of GRID Fields; 2.4.2.2 How GRID Fields can be Exploited; 2.4.2.3 Use of Chemometrics:The CoMFA Method; 2.4.3 Hydrophobic Interactions; 2.4.3.1 Log P as a Measure of Lipophilicity; 2.4.3.2 The Hydropathic Field; 2.4.3.3 Display of Properties on a Molecular Surface; 2.5 Pharmacophore Identification; 2.5.1 Molecules to be Matched; 2.5.2 Atom-by-Atom Superposition; 2.5.3 Superposition of Molecular Fields 2.6 The Use of Data Bants2.6.1 Conversion of 2D Structural Data into 3D Form; 2.6.2 3D Searching; 3 Example for Small Molecule Modeling: Serotonin Receptor Ligands; 3.1 Definition of the Serotoninergic Pharmacophore; 3.2 The Molecular Interaction Field; 3.3 Construction of a 5-HT 2a Receptor Binding Site Model; 3.4 Calculation of Interaction Energies; 3.5 Validation of the Model; 4 Introduction to Protein Modeling; 4.1 Where and How to get Information on Proteins; 4.2 Terminology and Principles of Protein Structure; 4.2.1 Conformational Properties of Proteins 4.2.2 Types of Secondary Structural Elements4.2.2.1 The α-Helix; 4.2.2.2 The β-Sheet; 4.2.2.3 Turns; 4.2.3 Homologous Proteins; 4.3 Knowledge-Based Protein Modeling; 4.3.1 Procedures for Sequence Alignments; 4.3.2 Determination and Generation of Structurally Conserved Regions (SCRs); 4.3.3 Construction of Structurally Variable Regions (SVRs); 4.3.4 Side Chain Modeling; 4.3.5 Distance Geometry Approach; 4.3.6 Secondary Structure Prediction; 4.3.7 Energy-Based Modeling Methods; 4.4 Optimization Procedures - Model Refinement - Molecular Dynamics; 4.4.1 Force Fields for Protein Modeling 4.4.2 Geometry Optimization |
Record Nr. | UNISA-996218390603316 |
Höltje Hans-Dieter | ||
Weinheim, Germany ; ; New York, New York : , : John Wiley & Sons, , [1997] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Molecular modeling : basic principles and applications / / Hans-Dieter Höltje and Gerd Folkers |
Autore | Höltje Hans-Dieter |
Pubbl/distr/stampa | Weinheim, Germany ; ; New York, New York : , : John Wiley & Sons, , [1997] |
Descrizione fisica | 1 online resource (209 p.) |
Disciplina | 572/.33/0113 |
Collana | Methods and principles in medicinal chemistry |
Soggetto topico |
Molecules - Models - Computer simulation
Ligand binding (Biochemistry) - Computer simulation Biomolecules - Structure - Computer simulation Drugs - Design - Computer simulation |
ISBN |
1-281-75846-9
9786611758462 3-527-61477-X 3-527-61476-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Molecular Modeling; Preface; A Personal Foreword; Contents; 1 Introduction; 1.1 Modern History of Molecular Modeling; 1.2 Do Today's Molecular Modeling Methods Illustrate only the Lukretian World?; 1.3 What are Models Used for?; 1.4 Molecular Modeling Uses All FourTypes for Model Building; 1.5 The Final Step is Design; 1.6 The Scope of the Book; 2 Small Molecules; 2.1 Generation of 3D Coordinates; 2.1.1 Crystal Data; 2.1.2 Fragment Libraries; 2.1.3 Sketch Approach; 2.2 Computational Tools for Geometry Optimization; 2.2.1 Force Fields; 2.2.2 Geometry Optimization
2.2.3 Energy-Minimizing Procedures2.2.3.1 Steepest Descent Minimizer; 2.2.3.2 Conjugate Gradient Method; 2.2.3.3 Newton-Raphson Minimizer; 2.2.4 Use of Charges, Solvation Effects; 2.2.5 Quantum Mechanical Methods; 2.2.5.1 Ab initio Methods; 2.2.5.2 Semiempirical Molecular Orbital Methods; 2.3 Conformational Analysis; 2.3.1 Conformational Analysis Using Systematic Search Procedures; 2.3.2 Conformational Analysis Using Monte Carlo Methods; 2.3.3 Conformational Analysis Using Molecular Dynamics; 2.4 Determination of Molecular Interaction Potentials 2.4.1 Molecular Electrostatic Potentials (MEPs)2.4.1.1 Methods for Calculating Atomic Point Charges; 2.4.1.2 Methods for Generating MEPs; 2.4.2 Molecular Interaction Fields; 2.4.2.1 Calculation of GRID Fields; 2.4.2.2 How GRID Fields can be Exploited; 2.4.2.3 Use of Chemometrics:The CoMFA Method; 2.4.3 Hydrophobic Interactions; 2.4.3.1 Log P as a Measure of Lipophilicity; 2.4.3.2 The Hydropathic Field; 2.4.3.3 Display of Properties on a Molecular Surface; 2.5 Pharmacophore Identification; 2.5.1 Molecules to be Matched; 2.5.2 Atom-by-Atom Superposition; 2.5.3 Superposition of Molecular Fields 2.6 The Use of Data Bants2.6.1 Conversion of 2D Structural Data into 3D Form; 2.6.2 3D Searching; 3 Example for Small Molecule Modeling: Serotonin Receptor Ligands; 3.1 Definition of the Serotoninergic Pharmacophore; 3.2 The Molecular Interaction Field; 3.3 Construction of a 5-HT 2a Receptor Binding Site Model; 3.4 Calculation of Interaction Energies; 3.5 Validation of the Model; 4 Introduction to Protein Modeling; 4.1 Where and How to get Information on Proteins; 4.2 Terminology and Principles of Protein Structure; 4.2.1 Conformational Properties of Proteins 4.2.2 Types of Secondary Structural Elements4.2.2.1 The α-Helix; 4.2.2.2 The β-Sheet; 4.2.2.3 Turns; 4.2.3 Homologous Proteins; 4.3 Knowledge-Based Protein Modeling; 4.3.1 Procedures for Sequence Alignments; 4.3.2 Determination and Generation of Structurally Conserved Regions (SCRs); 4.3.3 Construction of Structurally Variable Regions (SVRs); 4.3.4 Side Chain Modeling; 4.3.5 Distance Geometry Approach; 4.3.6 Secondary Structure Prediction; 4.3.7 Energy-Based Modeling Methods; 4.4 Optimization Procedures - Model Refinement - Molecular Dynamics; 4.4.1 Force Fields for Protein Modeling 4.4.2 Geometry Optimization |
Record Nr. | UNINA-9910829906903321 |
Höltje Hans-Dieter | ||
Weinheim, Germany ; ; New York, New York : , : John Wiley & Sons, , [1997] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|