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Record Nr. |
UNINA9910457672703321 |
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Titolo |
Diet, brain, behavior : practical implications / / edited by Robin B. Kanarek and Harris R. Lieberman |
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Pubbl/distr/stampa |
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Boca Raton : , : CRC Press, , 2012 |
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ISBN |
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0-429-10403-0 |
1-283-35008-4 |
9786613350084 |
1-4398-2157-7 |
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Descrizione fisica |
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1 online resource (330 p.) |
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Altri autori (Persone) |
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LiebermanHarris R |
KanarekRobin B |
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Disciplina |
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Soggetti |
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Nutrition |
Diet |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Mental Energy and Fatigue: Science and the Consumer; Chapter 2: Hydration and Brain Function; Chapter 3: Diet as an Analgesic Modality; Chapter 4: Breakfast and Adult and Child Behaviors; Chapter 5: Diet, Physical Activity, and Substrate Oxidation: Implications for Appetite Control, Weight Loss, and Body Composition; Chapter 6: The Reward Deficiency Hypothesis: Implications for Obesity and Other Eating Disorders; Chapter 7: Potential Consequences of Obesity on Cognitive Behavior; Chapter 8: Dietary Supplements for Weight Loss |
Chapter 9: Sweet Taste Preferences and Cravings in Gestational Diabetes Mellitus (GDM): Implications for Diet and Medical ManagementChapter 10: Homocysteine, B Vitamins, and Cognitive Function; Chapter 11: Creatine, Brain Functioning, and Behavior; Chapter 12: Theanine, Mood, and Behavior; Chapter 13: Caffeine: Practical Implications; Chapter 14: Caffeine Effects on Aggression and Risky Decision Making; Back Cover |
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Sommario/riassunto |
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As the field of nutritional neuroscience has grown, both the scientific |
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community and the general population have expressed a heightened interest in the effect of nutrients on behavior. Diet, Brain, Behavior: Practical Implications presents the work of a diverse group of scientists who collectively explore the broad scope of research in the field.The subject matter of each chapter in this volume was chosen to ensure the current or potential for further applicability to practical, applied issues. Topics discussed include:Concepts of mental |
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Record Nr. |
UNINA9910830440503321 |
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Titolo |
Advanced computer-assisted techniques in drug discovery [[electronic resource] /] / edited by Han van de Waterbeemd |
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Pubbl/distr/stampa |
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Weinheim ; ; New York, : VCH, c1995 |
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ISBN |
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1-281-84288-5 |
9786611842888 |
3-527-61567-9 |
3-527-61566-0 |
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Descrizione fisica |
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1 online resource (367 p.) |
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Collana |
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Methods and principles in medicinal chemistry ; ; v. 3 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Pharmaceutical chemistry - Data processing |
Drugs - Design - Data processing |
Drugs - Research - Data processing |
QSAR (Biochemistry) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Advanced Computer- Assisted Techniques in Drug Discovery; Preface; A Personal Foreword; Contents; 1 Introduction; 1.1 3D QSAR; 1.2 Databases; 1.3 Progress in Multivariate Data Analysis; 1.4 Scope of this Book; References; 2 3D QSAR: The Integration of QSAR with Molecular Modeling; 2.1 Chemometrics and Molecular Modeling; 2.1.1 Introduction; 2.1.2 QSAR Methodology using Molecular Modeling and Chemometrics; 2.1.2.1 Search for the Geometric Pharmacophore; |
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2.1.2.2 Quantitative Correlation between Molecular Properties and Activity; 2.1.2.3 Computer Programs; 2.1.3 Illustrative Examples |
2.1.3.1 Amnesia-Reversal Compounds2.1.3.2 Non-Peptide Angiotensin II Receptor Antagonists; 2.1.3.3 HMG-CoA Reductase Inhibitors; 2.1.3.4 Antagonists at the 5-HT3 Receptor; 2.1.3.5 Polychlorinated Dibenzo-p-dioxins; 2.1.4 Conclusions; References; 2.2 3D QSAR Methods; 2.2.1 Introduction; 2.2.2 3D QSAR of a Series of Calcium Channel Agonists; 2.2.2.1 Molecular Alignment; 2.2.2.2 Charges; 2.2.2.3 Generating 3D Fields; 2.2.2.4 Compilation of GRID Maps; 2.2.2.5 Inclusion of Macroscopic Descriptors with 3D Field Data; 2.2.3 Statistical Analysis; 2.2.3.1 Results of the Analysis |
2.2.3.2 Testing the Model2.2.4 Conclusions; References; 2.3 GOLPE Philosophy and Applications in 3D QSAR; 2.3.1 Introduction; 2.3.1.1 3D Molecular Descriptors and Chemometric Tools; 2.3.1.2 Unfolding Three-way Matrices; 2.3.2 The GOLPE Philosophy; 2.3.2.1 Variable Selection; 2.3.3 Applications; 2.3.3.1 PCA on the Target Matrix; 2.3.3.2 PCA on the Probe Matrix; 2.3.3.3 PLS Analysis on the Target Matrix; 2.3.3.4 PLS on Target Matrix as a Strategy to Ascertain the Active Conformation; 2.3.3.5 GOLPE with Different 3D Descriptors; 2.3.4 Conclusions and Perspectives; References |
3 Rational Use of Chemical and Sequence Databases3.1 Molecular Similarity Analysis: Applications in Drug Discovery; 3.1.1 Introduction; 3.1.2 Similarity-Based Compound Selection; 3.1.2.1 Similarity Measures and Neighborhoods; 3.1.2.2 Application of 2D and 3D Similarity Measures; 3.1.2.3 Application of Dissimilarity-Based Compound Selection for Broad Screening; 3.1.3 Structure-Activity Maps (SAMs); 3.1.3.1 A Visual Analogy; 3.1.3.2 Representing Inter-Structure Distances; 3.1.3.3 Structure Maps; 3.1.3.4 Coloring a Structure Map; 3.1.4 Field-Based Similarity Methods |
3.1.4.1 Field-Based Similarity Measures3.1.4.2 Field-Based Molecular Superpositions; 3.1.4.3 An Example of Field-Based Fitting: Morphine and Clonidine; 3.1.5 Conclusions; References; 3.2 Clustering of Chemical Structure Databases for Compound Selection; 3.2.1 Introduction; 3.2.2 Review of Clustering Methods; 3.2.2.1 Hierarchical Clustering Methods; 3.2.2.2 Non-Hierarchical Clustering Methods; 3.2.3 Choice of Clustering Method; 3.2.3.1 Computational Requirements; 3.2.3.2 Cluster Shapes; 3.2.3.3 Comparative Studies |
3.2.4 Examples of the Selection of Compounds from Databases by Clustering Techniques |
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Sommario/riassunto |
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The use of powerful computers has revolutionized molecular design and drug discovery. Thoroughly researched and well-structured, this comprehensive handbook covers highly effective and efficient techniques in 3D-QSAR and advanced statistical analysis. The emphasis is on showing users how to apply these methods and avoid costly and time-consuming methodical errors.Topics covered include* combination of statistical methods and molecular modeling tools* rational use of databases* advanced statistical techniques* neural networks and expert systems in molecular design<br |
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