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An Introduction to Chemoinformatics

Erschienen am 04.09.2007, 1. Auflage 2007
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Bibliografische Daten
ISBN/EAN: 9781402062902
Sprache: Englisch
Umfang: xv, 255 S.
Einband: kartoniertes Buch

Beschreibung

InhaltsangabePreface. Acknowledgements. 1: Representation and Manipulation of 2D Molecular Structures. 1. Introduction. 2. Computer Representations of Chemical Structures. 3. Structure Searching. 4. Substructure Searching. 5. Reaction Databases. 6. The Representation of Patents and Patent Databases. 7. Relational Database Systems. 8. Summary. 2: Representation and Manipulation of 3D Molecular Structures. 1. Introduction. 2. Experimental 3D databases. 3. 3D Pharmacophores. 4. Implementation of 3D database Searching. 5. Theoretical 3D Databases. 6. Methods to Derive 3D Pharmacophores. 7. Applications of 3D Pharmacophore Mapping and 3D Database Searching. 8. Summary. 3: Molecular Descriptors. 1. Introduction. 2. Descriptors Calculated from the 2D Structure. 3. Descriptors Based on 3D Representations. 4. Data Verification and Manipulation. 5. Summary. 4: Computational Models. 1. Introduction. 2. Historical Overview. 3. Deriving a QSAR Equation: Simple and Multiple Linear Regression. 4. Designing a QSAR 'Experiment'. 5. Principal Components Regression. 6. Partial Least Squares. 7. Molecular Field Analysis and Partial Least Squares. 8. Summary. 5: Similarity Methods. 1. Introduction. 2. Similarity Based on 2D Fingerprints. 3. Similarity Coefficients. 4. Other 2D Descriptor Methods. 5. 3D Similarity. 6. Summary. 6: Selecting Diverse SetsOf Compounds. 1. Introduction. 2. Cluster Analysis. 3. Dissimilarity-Based selection methods. 4. Cell-Based Methods. 5. Optimisation Methods. 6. Comparison and Evaluation of Selection Methods. 7. Summary. 7: Analysis of High-Throughput Screening Data. 1. Introduction. 2. Data Visualisation. 3. Data Mining Methods. 4. Summary. 8: Virtual Screening. 1. Introduction. 2. 'Drug-Likeness' and Compound Filters. 3. Structure-Based Virtual Screening. 4. The Prediction of ADMET Properties. 5. Summary. 9: Combinatorial Chemistry and Library Design. 1. Introduction. 2. Diverse and Focussed Libraries. 3. Library Enumeration. 4. Combinatorial Library Design Strategies. 5. Approaches to Product-Based Library Design. 6. Multiobjective Library Design. 7. Practical Examples of Library Design. 8. Summary. Appendix 1: Matrices, Eigenvectors and Eigenvalues. Appendix 2: Conformation, Energy Calculations and Energy Surfaces. Further Reading. References. Index.

Inhalt

Preface. Acknowledgements. 1: Representation and Manipulation of 2D Molecular Structures. 1. Introduction. 2. Computer Representations of Chemical Structures. 3. Structure Searching. 4. Substructure Searching. 5. Reaction Databases. 6. The Representation of Patents and Patent Databases. 7. Relational Database Systems. 8. Summary. 2: Representation and Manipulation of 3D Molecular Structures. 1. Introduction. 2. Experimental 3D databases. 3. 3D Pharmacophores. 4. Implementation of 3D database Searching. 5. Theoretical 3D Databases. 6. Methods to Derive 3D Pharmacophores. 7. Applications of 3D Pharmacophore Mapping and 3D Database Searching. 8. Summary. 3: Molecular Descriptors. 1. Introduction. 2. Descriptors Calculated from the 2D Structure. 3. Descriptors Based on 3D Representations. 4. Data Verification and Manipulation. 5. Summary. 4: Computational Models. 1. Introduction. 2. Historical Overview. 3. Deriving a QSAR Equation: Simple and Multiple Linear Regression. 4. Designing a QSAR "Experiment". 5. Principal Components Regression. 6. Partial Least Squares. 7. Molecular Field Analysis and Partial Least Squares. 8. Summary. 5: Similarity Methods. 1. Introduction. 2. Similarity Based on 2D Fingerprints. 3. Similarity Coefficients. 4. Other 2D Descriptor Methods. 5. 3D Similarity. 6. Summary. 6: Selecting Diverse Sets Of Compounds. 1. Introduction. 2. Cluster Analysis. 3. Dissimilarity-Based selection methods. 4. Cell-Based Methods. 5. Optimisation Methods. 6. Comparison and Evaluation of Selection Methods. 7. Summary. 7: Analysis of High-Throughput Screening Data. 1. Introduction. 2. Data Visualisation. 3. Data Mining Methods. 4. Summary. 8: Virtual Screening. 1. Introduction. 2. "Drug-Likeness" and Compound Filters. 3. Structure-Based Virtual Screening. 4. The Prediction of ADMET Properties. 5. Summary. 9: Combinatorial Chemistry and Library Design. 1. Introduction. 2. Diverse and Focussed Libraries. 3. Library Enumeration. 4. Combinatorial Library Design Strategies. 5. Approaches to Product-Based Library Design. 6. Multiobjective Library Design. 7. Practical Examples of Library Design. 8. Summary. Appendix 1: Matrices, Eigenvectors and Eigenvalues. Appendix 2: Conformation, Energy Calculations and Energy Surfaces. Further Reading. References. Index.

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