De novo molecular design. ([2014])
- Record Type:
- Book
- Title:
- De novo molecular design. ([2014])
- Main Title:
- De novo molecular design
- Further Information:
- Note: Edited by Gisbert Schneider.
- Other Names:
- Schneider, Gisbert, 1965-
- Contents:
- De novo Molecular Design; Title Page; Copyright; Contents; List of Contributors; Foreword; Preface; Chapter 1 De Novo Design: From Models to Molecules; 1.1 Molecular Representation; 1.2 The Molecular Design Cycle; 1.3 Receptor-Ligand Interaction; 1.4 Modeling Fitness Landscapes; 1.4.1 Na ̈ive Bayes Classifier; 1.4.2 Artificial Neural Network; 1.4.3 Support Vector Machine; 1.4.4 Gaussian Process; 1.5 Strategies for Compound Construction; 1.6 Strategies for Compound Scoring; 1.6.1 Receptor-Based Scoring; 1.6.2 Ligand-Based Scoring; 1.7 Flashback Forward: A Brief History of De Novo Drug Design. 1.8 ConclusionsAcknowledgments; References; Chapter 2 Coping with Complexity in Molecular Design; 2.1 Introduction; 2.2 A Simple Model of Molecular Interactions; 2.3 Enhancements to the Simple Complexity Model; 2.4 Enumerating and Sampling the Complexity of Chemical Space; 2.5 Validation of the Complexity Model; 2.6 Reductionism and Drug Design; 2.7 Complexity and Information Content as a Factor in De Novo Design; 2.8 Complexity of Thermodynamic Entropy and Drug Design; 2.9 Complex Systems, Emergent Behavior, and Molecular Design; Acknowledgments; References; Chapter 3 The Human Pocketome. 3.1 Predicted Pockets3.2 Compilation of the Validated Human Pocketome; 3.3 Diversity and Redundancy of the Human Pocketome; 3.4 Compound Activity Prediction by Ligand-Pocket Docking and Scoring; 3.4.1 Optimizing Pocket Sets for Reliable Docking and Scoring Results; 3.4.2 Difficult Cases: UnusuallyDe novo Molecular Design; Title Page; Copyright; Contents; List of Contributors; Foreword; Preface; Chapter 1 De Novo Design: From Models to Molecules; 1.1 Molecular Representation; 1.2 The Molecular Design Cycle; 1.3 Receptor-Ligand Interaction; 1.4 Modeling Fitness Landscapes; 1.4.1 Na ̈ive Bayes Classifier; 1.4.2 Artificial Neural Network; 1.4.3 Support Vector Machine; 1.4.4 Gaussian Process; 1.5 Strategies for Compound Construction; 1.6 Strategies for Compound Scoring; 1.6.1 Receptor-Based Scoring; 1.6.2 Ligand-Based Scoring; 1.7 Flashback Forward: A Brief History of De Novo Drug Design. 1.8 ConclusionsAcknowledgments; References; Chapter 2 Coping with Complexity in Molecular Design; 2.1 Introduction; 2.2 A Simple Model of Molecular Interactions; 2.3 Enhancements to the Simple Complexity Model; 2.4 Enumerating and Sampling the Complexity of Chemical Space; 2.5 Validation of the Complexity Model; 2.6 Reductionism and Drug Design; 2.7 Complexity and Information Content as a Factor in De Novo Design; 2.8 Complexity of Thermodynamic Entropy and Drug Design; 2.9 Complex Systems, Emergent Behavior, and Molecular Design; Acknowledgments; References; Chapter 3 The Human Pocketome. 3.1 Predicted Pockets3.2 Compilation of the Validated Human Pocketome; 3.3 Diversity and Redundancy of the Human Pocketome; 3.4 Compound Activity Prediction by Ligand-Pocket Docking and Scoring; 3.4.1 Optimizing Pocket Sets for Reliable Docking and Scoring Results; 3.4.2 Difficult Cases: Unusually Large and Multifunctional Pockets; 3.5 Pocketome-Derived 3D Chemical Fields as Activity Prediction Models; 3.6 Clustering the Ligands by Function and Subpockets; 3.7 Conclusions; Acknowledgments; References; Chapter 4 Structure-Based De Novo Drug Design; 4.1 Introduction. 4.2 Current Progress in SBDND Methodologies4.2.1 Identification of Binding Site; 4.2.2 Design of Molecules; 4.2.2.1 Atom-Based versus Fragment-Based Methods; 4.2.2.2 Pharmacophore-Based Methods; 4.2.3 Searching the Chemical Space; 4.2.3.1 Monte Carlo-Based Methods; 4.2.3.2 Evolutionary Algorithms; 4.2.4 Scoring Methods; 4.2.4.1 Force-Field-Based Scoring Functions; 4.2.4.2 Empirical Scoring Functions; 4.2.4.3 Knowledge-Based Scoring Functions; 4.2.4.4 Consensus Scoring; 4.2.5 Synthetic Accessibility; 4.3 Recent Applications of Structure-Based De Novo Design; 4.4 Perspectives and Conclusion. AcknowledgmentReferences; Chapter 5 De Novo Design by Fragment Growing and Docking; 5.1 Introduction; 5.2 Case Study I: High-Throughput Screening with Dr Feils; 5.2.1 Target Identification; 5.2.2 Small-Molecule Library Design; 5.2.2.1 Computer Docking; 5.2.2.2 Pharmacophore Searching; 5.2.3 High-Throughput Screening; 5.2.4 Optimization; 5.3 Case Study II: Fragment-Based Drug Design with Dr Goode; 5.3.1 Library Generation; 5.3.1.1 Computational Techniques for Library Refinement; 5.3.2 Detection Methods; 5.3.2.1 Functional/High-Concentration Screening. … (more)
- Publisher Details:
- Weinheim, Germany : Wiley-VCH
- Publication Date:
- 2014
- Extent:
- 1 online resource (xxiv, 553 pages)
- Subjects:
- 639.485
Drugs -- Design
Computer-aided design
Molecular structure -- Computer simulation
Drug Design
Molecular Structure
Computer-aided design
Drugs -- Design
Molecular structure -- Computer simulation
Electronic books - Languages:
- English
- ISBNs:
- 9783527677016
3527677011
1299988431
9781299988439
9783527677009
3527677003
3527677038
9783527677030
9783527677023 - Related ISBNs:
- 352767702X
9783527334612
3527334610
9783527677030
9783527677023 - Notes:
- Note: Includes bibliographical references at the end of each chapters and index.
Note: Online resource; title from PDF title page (Wiley, viewed on October 31, 2013). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.377103
- Ingest File:
- 02_357.xml