Reviews in computational chemistry . Volume 11 [[electronic resource] /] / edited by Kenny B. Lipkowitz and Donald B. Boyd

• Record Nr.: UNINA9910143986103321
• Pubbl/distr/stampa: New York, : Wiley-VCH, 1997
• ISBN: 1-282-30812-2; 9786612308123; 0-470-12588-8; 0-470-12615-9
• Descrizione fisica: 1 online resource (458 p.)
• Collana: Reviews in computational chemistry ; ; 11
• Altri autori (Persone): LipkowitzKenny B; BoydDonald B
• Disciplina: 542.85; 542/.8
• Soggetti: Chemistry - Data processing; Chemistry - Mathematics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and indexes.
• Nota di contenuto: Reviews in Computational Chemistry Volume 11; Contents; Recent Advances in Ligand Design Methods; Introduction; Classes of Ligand Design Methods; Other Factors to Consider When Evaluating a Ligand Design Method; Organization of This Chapter; Overview of Classes of De Novo Design Methods; Category 1. Fragment Location (Fragment Placement) Methods; Category 2. Site Point Connection Methods; Category 3. Fragment Connection Methods; Category 4. Sequential Buildup Methods; Category 5. Whole Molecule Methods; Category 6. Random Connection/Disconnection Methods; Details of Specific De Novo Ligand Design MethodsFragment Location Methods; Site Point Connection Methods; Fragment Connection Methods; Sequential Buildup Methods; Whole Molecule Methods; Random Connection Methods; General Discussion of Ligand Design Approaches; Take-Home Lessons; Issues To Be Addressed in Ligand Design Software; Acknowledgments and Mea Culpas; References; Current Issues in De Novo Molecular Design; Introduction; Overview of De Novo Design Methods; Outline of Chapter; How Are the Design ; Constraints Derived?; Molecular Interactions; Characterizing a Receptor; When No Receptor Structure Is AvailableScalar Constraints; Accuracy and Appropriateness of Constraints; What Chemical Diversity Is Available?; Fragment Library Issues; Building Strategies; How Is Molecular Flexibility Handled?; Ligand Flexibility; Receptor Flexibility; Future Directions for Flexibility; How Useful Are Current Scoring Functions?; Why Are Scoring Functions Needed?; What Is Available?; Critique of Current Scoring Methods Used in De Novo Design; Future Directions for Scoring Methods; How Are Large Numbers of Generated Structures Handled?; Currently Available Tools and Protocols; DiscussionHow Are the Best Designs Verified?; Molecular Dynamics; Molecular Docking; Free Energy Calculations; What About the Interface?; Interface with the User; Interface to Other Design Tools; When Are De Novo Design Techniques Applicable?; Published Test Cases; Validated Examples; Discussion; Practical Advice on the Application of De Novo Design Methods; Conclusions; Acknowledgments; References; Theoretical and Practical Aspects of Three-Dimensional Quantitative Structure-Activity Relationships; An Introduction to the QSAR Problem; Chemical Space and the Linear Free Energy Formalism; Hansch Analysis and Classical QSARThree-Dimensional QSAR: An Overview; Assumptions in 3D-QSAR; Current 3D-QSAR Methods; CoMFA Application Notes; Training Set Composition; Alignment Rules; Electrostadc Descriptors and Choice of Partial Atomic Charges; CoMFA Region Description; CoMFA Standard Fields; Additional CoMFA Fields; PCA/PLS: A Brief Overview; Cross-Validation Techniques; Frequently Used Statistical Indices in 3D-QSAR; Interpretation of CoMFA Results; Model Predictivity; Explanatory Power; Model Simplicity; Variable Selection; Lateral Validation; Basic Qualities of a Good QSAR Model; Final Remarks
• Sommario/riassunto: Volume 11 Reviews in Computational Chemistry Kenny B. Lipkowitz and Donald B. Boyd The Theme of this Eleventh Volume is Computer-Aided Ligand Design and Modeling of Biomolecules. A Stellar Group of Scientists from Around the World Join in this Volume to Provide Tutorials for Beginners and Experts. Chapters 1 and 2 Take A Detailed Look at De Novo Design Methodologies for Discovering New Ligands which May Become Pharmaceuticals. Chapters 3 and 4 Cover the Methods and Applications of Three-Dimensional Quantitative Structure-Activity Relationships (3D-QSAR) Currently Used in Drug Discovery. Ways t