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Quantitative systems pharmacology : models and model-based systems with applications /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, The Netherlands :
Elsevier,
[2018]
|
| Colección: | Computer-aided chemical engineering ;
v. 42. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Quantitative systems pharmacology : |b models and model-based systems with applications / |c edited by Davide Manca. |
| 264 | 1 | |a Amsterdam, The Netherlands : |b Elsevier, |c [2018] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computer aided chemical engineering ; |v volume 42 | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Front Cover; Quantitative Systems Pharmacology: Models and Model-Based Systems with Applications; Copyright; Contents; Contributors; Preface; Acknowledgments; Section 1: Introduction to quantitative systems pharmacology; Chapter 1: Quantitative systems pharmacology: Extending the envelope through systems engineering; 1. Introduction; 2. The emergence of QSP modeling; 2.1. Multiscale modeling: Beyond the drug target; 2.2. Modeling the disease state; 3. Modeling drug exposure and drug response at the systemic level; 4. Modeling biological and drug interactions at the molecular level | |
| 505 | 8 | |a 4.1. Omics data4.2. Genomics; 4.3. Transcriptomics; 4.4. Proteomics; 4.5. Metabolomics; 4.6. Omics network using pathway enrichment; 4.7. Case study: Pathway enrichment for synthetic MPL; 5. Summary of the model development process; 6. QSP in context; 6.1. Case study: Cortisol regulation in the context of environmental clues: Next challenges; 7. How systems engineering can enable QSP; 8. Final comments; Acknowledgments; References; Section 2: Modeling and applications of systemic pharmacokinetics and pharmacodynamics | |
| 505 | 8 | |a Chapter 2: An engineering oriented approach to physiologically based pharmacokinetic and pharmacodynamic modeling1. Introduction; 2. Classic compartmental pharmacokinetic models; 3. Physiologically based pharmacokinetic models; 3.1. Individualization of the pharmacokinetic prediction; 3.2. Model identification; 3.2.1. The rationale of model-assisted experiments; 3.2.2. Linearization method; 3.2.3. Monte Carlo method; 3.2.4. Bootstrap method; 3.2.5. A posteriori identifiability; 4. Introduction to pharmacodynamics; 5. Mathematical formulation of a PBPK model; 5.1. The PBPK model | |
| 505 | 8 | |a 5.1.1. Model parameters5.1.2. PK simulation; 6. Mathematical formulation of PD models; 6.1. Direct effect model: Hill equation; 6.2. Indirect response models; 6.3. Irreversible effect models; 7. Conclusions; References; Chapter 3: Advanced Techniques for the Optimal Design of Experiments in Pharmacokinetics; 1. Introduction; 2. Identifying a physiological model: The need for experimental design; 3. Design of experiments under constraints for physiological models; 3.1. Design procedure; 3.2. Design of experimental protocols under uncertainty; 4. Case study I: Identification of a PK-PD model | |
| 505 | 8 | |a 5. Case study II: Design of more effective clinical tests for the study of VWD6. Conclusions; References; Chapter 4: On the Identifiability of Physiological Models: Optimal Design of Clinical Tests; 1. Introduction; 2. The concept of identifiability; 3. Identifiability tests; 3.1. A priori tests for parametric identifiability; 3.2. A posteriori tests for parametric identifiability; 3.3. Practical identifiability of parametric models; 4. Identifiability in the development of compartmental models; 5. Optimal design of clinical tests for guaranteed identifiability | |
| 588 | 0 | |a Online resource; title from digital title page (viewed on September 04, 2018). | |
| 650 | 0 | |a Pharmacology. | |
| 650 | 0 | |a Systems engineering. | |
| 650 | 2 | |a Pharmacology |0 (DNLM)D010600 | |
| 650 | 6 | |a Pharmacologie. |0 (CaQQLa)201-0007219 | |
| 650 | 6 | |a Ing�enierie des syst�emes. |0 (CaQQLa)201-0050710 | |
| 650 | 7 | |a pharmacology. |2 aat |0 (CStmoGRI)aat300137970 | |
| 650 | 7 | |a systems engineering. |2 aat |0 (CStmoGRI)aat300054507 | |
| 650 | 7 | |a MEDICAL |x Pharmacology. |2 bisacsh | |
| 650 | 7 | |a Pharmacology. |2 fast |0 (OCoLC)fst01060259 | |
| 650 | 7 | |a Systems engineering. |2 fast |0 (OCoLC)fst01141455 | |
| 700 | 1 | |a Manca, Davide, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Quantitative systems pharmacology. |d Amsterdam, The Netherlands : Elsevier, [2018] |z 9780444639646 |z 0444639640 |w (OCoLC)1002834850 |
| 830 | 0 | |a Computer-aided chemical engineering ; |v v. 42. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/15707946/42 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444639646 |z Texto completo |