Multidimensional Pharmacochemistry : Design of Safer Drugs
Peter. Mager
Bok Engelsk 1985 · Electronic books.
| Annen tittel | |
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| Utgitt | Burlington : : Elsevier Science, , 1985.
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| Omfang | 1 online resource (434 p.)
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| Opplysninger | Description based upon print version of record.. - Front Cover; Multidimensional Pharmacochemistry: Design of Safer Drugs; Copyright Page; Table of Contents; Preface; Introductory Remarks; Chapter 1. Some Aspects of Medicinal Chemistry Today; I. The Scientific Aspect; II. The Multidimensional View; III. Innovation Problems in Drug Design and Public Opinion; Chapter 2. Biochemical-Pharmacological Design; I. Ariëns's Three Phases of Drug Action; II. Spanning Biosystem-Parameter Space; III. Influencing the Pharmacokinetic-Toxokinetic Phase through Molecular Manipulation; IV. The Pharmacodynamic-Toxodynamic Phase. - II. One-Group Case: Repeated MeasurementsIII. Test on Outliers; IV. One-Group Case: Probabilistic Principal Component Analysis (PRINCO); V. Two-Group Case: Fixed Factors; VI. Two-Group Case: Repeated Measurements; VII. One-Way Classification of Multivariate Variance Analysis (MANOVA); VIII. Two-Way Classification of MANOVA; IX. Multivariate Correlation and Regression Analysis (KANORA); X. Multivariate Covariance Analysis (MACOVA); XI. Multivariate Autocorrelation (MARA); XII. Analysis of Discrete Data; XIII. Concluding Remarks; Chapter 5. Unity through Diversity; I. Goal of the Analysis. - II. PRINCOIII. KANORA; IV. MANOVA and DISCRA; V. CLASCA; Chapter 6. Physicochemical Parameters; I. Synthesis Design; II. Molecular Structure Coding; III. ""Multidimensionality"" in Describing Substituent Effects; IV. Physicochemical Data Banks; V. Concluding Remarks; Chapter 7. The Multivariate Quantitative Structure-Activity Relationship; I. Introduction to Univariate QSAR; II. Principal Component Regression Analysis (PCRA); III. Overall-Response (OR) Parameter Analysis; IV. KANORA Applied to QSAR; V. Generalized Parabolic Model (Response Surface Optimization); VI. Grouped Observations. - V. Pharmacological-Toxicological Data BanksVI. Concluding Remarks; Chapter 3. Underlying Theory of Multivariate Statistics; I. Definition of Statistical Terms; II. The Structure of a Multivariate Design; III. The MASCA Approach; IV. If Many Biological Responses Must Be Analyzed, Why Can Many Univariate Approaches Not Be Employed?; V. Multivariate Test Criteria and Significance Points; VI. Requirements and Robustness of Multivariate Approaches; VII. Operator Equations; VIII. Recognition and Predictability; IX. Concluding Remarks; Chapter 4. Multivariate Bioassay; I. General Remarks. - VII. SummaryChapter 8. Discussions and Future Perspectives in Multidimensional Pharmacochemistry; References; Index. - Multidimensional Pharmacochemistry
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| Emner | Chemistry, Pharmaceutical - Statistical methods.
Chemistry, Pharmaceutical. Analysis of variance. Analytical, Diagnostic and Therapeutic Techniques and Equipment Vis mer... Biological Science Disciplines
Chemicals and Drugs Chemistry Disciplines and Occupations Environment and Public Health Epidemiologic Methods Health Care Health Care Evaluation Mechanisms Health Care Quality, Access, and Evaluation Investigative Techniques Natural Science Disciplines Pharmaceutical preparations - standards Pharmacology Public Health Quality of Health Care Statistics as Topic Drugs -- Standards. Pharmaceutical chemistry -- Statistical methods. Pharmaceutical chemistry. Farmasøytisk kjemi Health & Biological Sciences Pharmacy, Therapeutics, & Pharmacology |
| Sjanger | |
| Dewey | |
| ISBN | 0124650201
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