05487nam 2200685Ia 450 991014398610332120230421044549.01-282-30812-297866123081230-470-12588-80-470-12615-9(CKB)1000000000376108(EBL)468823(OCoLC)746577102(SSID)ssj0000308381(PQKBManifestationID)11255277(PQKBTitleCode)TC0000308381(PQKBWorkID)10258394(PQKB)11659792(MiAaPQ)EBC468823(Au-PeEL)EBL468823(CaPaEBR)ebr10342888(CaONFJC)MIL230812(EXLCZ)99100000000037610819920731d1997 uy 0engur|n|---|||||txtccrReviews in computational chemistryVolume 11[electronic resource] /edited by Kenny B. Lipkowitz and Donald B. BoydNew York Wiley-VCH19971 online resource (458 p.)Reviews in computational chemistry ;11Description based upon print version of record.0-471-19248-1 Includes bibliographical references and indexes.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 MethodsDetails 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 ReceptorWhen 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 ProtocolsDiscussionHow 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 FormalismHansch 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 ModelFinal RemarksVolume 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 tReviews in Computational ChemistryChemistryData processingChemistryMathematicsChemistryData processing.ChemistryMathematics.542.85542/.8Lipkowitz Kenny B855564Boyd Donald B855565MiAaPQMiAaPQMiAaPQBOOK9910143986103321Reviews in computational chemistry1910004UNINA