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Elements of computational systems biology [[electronic resource] /] / edited by Huma M. Lodhi, Stephen H. Muggleton
| Elements of computational systems biology [[electronic resource] /] / edited by Huma M. Lodhi, Stephen H. Muggleton |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Oxford, : Wiley, c2010 |
| Descrizione fisica | 1 online resource (435 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
LodhiHuma M
MuggletonStephen |
| Collana | Wiley series in bioinformatics |
| Soggetto topico |
Systems biology
Computational biology |
| ISBN |
1-282-54857-3
9786612548574 0-470-55675-7 0-470-55674-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ELEMENTS OF COMPUTATIONAL SYSTEMS BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; PART I OVERVIEW; 1 Advances in Computational Systems Biology; 1.1 Introduction; 1.2 Multiscale Computational Modeling; 1.3 Proteomics; 1.4 Computational Systems Biology and Aging; 1.5 Computational Systems Biology in Drug Design; 1.6 Software Tools for Systems Biology; 1.7 Conclusion; References; PART II BIOLOGICAL NETWORK MODELING; 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness; 2.1 Introduction; 2.2 Models as Dynamical Systems; 2.2.1 Continuous Models; 2.2.2 Discrete Models
2.3 The Parameter Problem2.3.1 Parameterphobia; 2.3.2 Measuring and Calculating; 2.3.3 Counter Fitting; 2.3.4 Beyond Fitting; 2.4 The Landscapes of Dynamics; 2.4.1 Qualitative Dynamics; 2.4.2 Steady State Attractors of ODE Models; 2.5 The Meanings of Robustness; 2.5.1 Parameter Biology; 2.5.2 Robustness to Initial Conditions; 2.5.3 Robustness in Reality; 2.5.4 Structural Stability; 2.5.5 Classifying Robustness; 2.6 Conclusion; References; 3 In Silico Analysis of Combined Therapeutics Strategy for Heart Failure; 3.1 Introduction; 3.2 Materials and Methods 3.2.1 Model Construction and Validation3.2.2 Classification of Different Heart Failure Cases; 3.2.3 Simulation Protocol; 3.3 Results; 3.3.1 β-Adrenergic Receptor Antagonists; 3.3.2 β-Adrenergic Receptor Kinase Inhibitor; 3.3.3 Phosphodiesterase Inhibitor; 3.3.4 Combined Therapies; 3.4 Discussion; Acknowledgment; 3A.1 Appendix; 3A.1.1 Model Validation; 3A.1.2 The Mathematical Model Used for Simulations; References; 4 Rule-Based Modeling and Model Refinement; 4.1 Kappa, Briefly; 4.2 Refinement, Practically; 4.2.1 A Simple Cascade; 4.2.2 Another Cascade; 4.2.3 The SSA Convention 4.2.4 A Less Obvious Refinement4.3 Rule-Based Modeling; 4.3.1 Notation; 4.3.2 Objects and Arrows; 4.3.3 Extensions; 4.3.4 Actions and Rules; 4.3.5 Events and Probabilities; 4.4 Refinement, Theoretically; 4.4.1 Growth Policies; 4.4.2 Simple Growth Policies; 4.4.3 Neutral Refinements; 4.4.4 Example Concluded; 4.4.5 Growth Policies, Concretely; 4.4.6 A Weakly Homogeneous Refinement; 4.4.7 Nonhomogeneous Growth Policies; 4.5 Conclusion; References; 5 A (Natural) Computing Perspective on Cellular Processes; 5.1 Natural Computing and Computational Biology; 5.2 Membrane Computing 5.3 Formal Languages Preliminaries5.4 Membrane Operations with Peripheral Proteins; 5.5 Membrane Systems with Peripheral Proteins; 5.5.1 Dynamics of the System; 5.5.2 Reachability in Membrane Systems; 5.6 Cell Cycle and Breast Tumor Growth Control; 5.6.1 Cell Cycle Progression Inhibition in G1/S; 5.6.2 Cell-Cycle Progression Inhibition in G2/M; References; 6 Simulating Filament Dynamics in Cellular Systems; 6.1 Introduction; 6.2 Background: The Roles of Filaments within Cells; 6.2.1 The Actin Network; 6.2.2 Intermediate Filaments; 6.2.3 Microtubules; 6.3 Examples of Filament Simulations 6.3.1 Actin-Based Motility in Listeria |
| Record Nr. | UNINA-9910140606503321 |
| Oxford, : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Elements of computational systems biology / / edited by Huma M. Lodhi, Stephen H. Muggleton
| Elements of computational systems biology / / edited by Huma M. Lodhi, Stephen H. Muggleton |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Oxford, : Wiley, c2010 |
| Descrizione fisica | 1 online resource (435 p.) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
LodhiHuma M
MuggletonStephen |
| Collana | Wiley series in bioinformatics |
| Soggetto topico |
Systems biology
Computational biology |
| ISBN |
9786612548574
9781282548572 1282548573 9780470556757 0470556757 9780470556740 0470556749 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ELEMENTS OF COMPUTATIONAL SYSTEMS BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; PART I OVERVIEW; 1 Advances in Computational Systems Biology; 1.1 Introduction; 1.2 Multiscale Computational Modeling; 1.3 Proteomics; 1.4 Computational Systems Biology and Aging; 1.5 Computational Systems Biology in Drug Design; 1.6 Software Tools for Systems Biology; 1.7 Conclusion; References; PART II BIOLOGICAL NETWORK MODELING; 2 Models in Systems Biology: The Parameter Problem and the Meanings of Robustness; 2.1 Introduction; 2.2 Models as Dynamical Systems; 2.2.1 Continuous Models; 2.2.2 Discrete Models
2.3 The Parameter Problem2.3.1 Parameterphobia; 2.3.2 Measuring and Calculating; 2.3.3 Counter Fitting; 2.3.4 Beyond Fitting; 2.4 The Landscapes of Dynamics; 2.4.1 Qualitative Dynamics; 2.4.2 Steady State Attractors of ODE Models; 2.5 The Meanings of Robustness; 2.5.1 Parameter Biology; 2.5.2 Robustness to Initial Conditions; 2.5.3 Robustness in Reality; 2.5.4 Structural Stability; 2.5.5 Classifying Robustness; 2.6 Conclusion; References; 3 In Silico Analysis of Combined Therapeutics Strategy for Heart Failure; 3.1 Introduction; 3.2 Materials and Methods 3.2.1 Model Construction and Validation3.2.2 Classification of Different Heart Failure Cases; 3.2.3 Simulation Protocol; 3.3 Results; 3.3.1 β-Adrenergic Receptor Antagonists; 3.3.2 β-Adrenergic Receptor Kinase Inhibitor; 3.3.3 Phosphodiesterase Inhibitor; 3.3.4 Combined Therapies; 3.4 Discussion; Acknowledgment; 3A.1 Appendix; 3A.1.1 Model Validation; 3A.1.2 The Mathematical Model Used for Simulations; References; 4 Rule-Based Modeling and Model Refinement; 4.1 Kappa, Briefly; 4.2 Refinement, Practically; 4.2.1 A Simple Cascade; 4.2.2 Another Cascade; 4.2.3 The SSA Convention 4.2.4 A Less Obvious Refinement4.3 Rule-Based Modeling; 4.3.1 Notation; 4.3.2 Objects and Arrows; 4.3.3 Extensions; 4.3.4 Actions and Rules; 4.3.5 Events and Probabilities; 4.4 Refinement, Theoretically; 4.4.1 Growth Policies; 4.4.2 Simple Growth Policies; 4.4.3 Neutral Refinements; 4.4.4 Example Concluded; 4.4.5 Growth Policies, Concretely; 4.4.6 A Weakly Homogeneous Refinement; 4.4.7 Nonhomogeneous Growth Policies; 4.5 Conclusion; References; 5 A (Natural) Computing Perspective on Cellular Processes; 5.1 Natural Computing and Computational Biology; 5.2 Membrane Computing 5.3 Formal Languages Preliminaries5.4 Membrane Operations with Peripheral Proteins; 5.5 Membrane Systems with Peripheral Proteins; 5.5.1 Dynamics of the System; 5.5.2 Reachability in Membrane Systems; 5.6 Cell Cycle and Breast Tumor Growth Control; 5.6.1 Cell Cycle Progression Inhibition in G1/S; 5.6.2 Cell-Cycle Progression Inhibition in G2/M; References; 6 Simulating Filament Dynamics in Cellular Systems; 6.1 Introduction; 6.2 Background: The Roles of Filaments within Cells; 6.2.1 The Actin Network; 6.2.2 Intermediate Filaments; 6.2.3 Microtubules; 6.3 Examples of Filament Simulations 6.3.1 Actin-Based Motility in Listeria |
| Record Nr. | UNINA-9910818467503321 |
| Oxford, : Wiley, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||