Progress and prospects in evolutionary biology [[electronic resource] ] : the Drosophila model / / Jeffrey R. Powell |
Autore | Powell Jeffrey R |
Pubbl/distr/stampa | New York, : Oxford University Press, 1997 |
Descrizione fisica | 1 online resource (577 p.) |
Disciplina | 575 |
Soggetto topico |
Drosophila - Evolution
Evolution (Biology) Biological models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-44255-7
0-19-536032-X 9786610442553 1-60129-894-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contents; Index; 1. An Overview; 2. Population Genetics-Genes; 3. Population Genetics-Inversions; 4. Population Genetics-Laboratory Studies; 5. Ecology; 6. Ecological Genetics; 7. Speciation; 8. Phylogenetics; 9. Genome Evolution; 10. Molecular Evolution; 11. Development; 12. Retrospective and Prospective; References |
Record Nr. | UNINA-9910450455303321 |
Powell Jeffrey R
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New York, : Oxford University Press, 1997 | ||
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Lo trovi qui: Univ. Federico II | ||
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Progress and prospects in evolutionary biology [[electronic resource] ] : the Drosophila model / / Jeffrey R. Powell |
Autore | Powell Jeffrey R |
Pubbl/distr/stampa | New York, : Oxford University Press, 1997 |
Descrizione fisica | 1 online resource (577 p.) |
Disciplina | 575 |
Soggetto topico |
Drosophila - Evolution
Evolution (Biology) Biological models |
ISBN |
0-19-770188-4
1-280-44255-7 0-19-536032-X 9786610442553 1-60129-894-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Contents; Index; 1. An Overview; 2. Population Genetics-Genes; 3. Population Genetics-Inversions; 4. Population Genetics-Laboratory Studies; 5. Ecology; 6. Ecological Genetics; 7. Speciation; 8. Phylogenetics; 9. Genome Evolution; 10. Molecular Evolution; 11. Development; 12. Retrospective and Prospective; References |
Record Nr. | UNINA-9910783366203321 |
Powell Jeffrey R
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New York, : Oxford University Press, 1997 | ||
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Lo trovi qui: Univ. Federico II | ||
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Quantitative modeling in toxicology [[electronic resource] /] / editors, Kannan Krishnan, Melvin E. Andersen |
Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 |
Descrizione fisica | 1 online resource (505 p.) |
Disciplina |
615.90015118
615.907 |
Altri autori (Persone) |
KrishnanKannan <1961->
AndersenMelvin E |
Soggetto topico |
Toxicology - Mathematical models
Biological models |
ISBN |
1-282-68958-4
9786612689581 0-470-68626-X 0-470-68670-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Quantitative Modeling in Toxicology; Contents; Preface; About the Editors; About the Book; List of Contributors; SECTION 1 INTRODUCTION; 1 Quantitative Modeling in Toxicology: An Introduction; SECTION 2 PHYSIOLOGICALLY-BASED TOXICOKINETIC AND PHARMACOKINETIC (PBPK) MODELING; 2 PBPK Modeling: A Primer; 3 Pharmacokinetic Modeling of Manganese - An Essential Element; 4 Physiologically Based Modeling of Pharmacokinetic Interactions in Chemical Mixtures; 5 Physiological Parameters and Databases for PBPK Modeling; SECTION 3 MODELING TOXICANT-TARGET INTERACTIONS; 6 Modeling Cholinesterase Inhibition
7 Modeling of Protein Induction and Dose-Dependent Hepatic Sequestration8 Bistable Signaling Motifs and Cell Fate Decisions; 9 Ultrasensitive Response Motifs in Biochemical Networks; 10 Gene and Protein Expression - Modeling Nested Motifs in Cellular and Tissue Response Networks; 11 Modeling Liver and Kidney Cytotoxicity; SECTION 4 MODELING TISSUE AND ORGANISM RESPONSES; 12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat; 13 Two-Stage Clonal Growth Modeling of Cancer; 14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures 15 (Q)SAR Models of Adverse Responses: Acute Systemic ToxicitySECTION 5 MODEL APPLICATION AND EVALUATION; 16 Modeling Exposures to Chemicals From Multiple Sources and Routes; 17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data; 18 Quantitative Modeling in Noncancer Risk Assessment; 19 Application of Physiologically Based Pharmacokinetic Modeling in Health Risk Assessment; 20 Uncertainty, Variability, and Sensitivity Analyses in Simulation Models; 21 Evaluation of Quantitative Models in Toxicology: Progress and Challenges; Index |
Record Nr. | UNINA-9910139509603321 |
Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Quantitative modeling in toxicology [[electronic resource] /] / editors, Kannan Krishnan, Melvin E. Andersen |
Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 |
Descrizione fisica | 1 online resource (505 p.) |
Disciplina |
615.90015118
615.907 |
Altri autori (Persone) |
KrishnanKannan <1961->
AndersenMelvin E |
Soggetto topico |
Toxicology - Mathematical models
Biological models |
ISBN |
1-282-68958-4
9786612689581 0-470-68626-X 0-470-68670-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Quantitative Modeling in Toxicology; Contents; Preface; About the Editors; About the Book; List of Contributors; SECTION 1 INTRODUCTION; 1 Quantitative Modeling in Toxicology: An Introduction; SECTION 2 PHYSIOLOGICALLY-BASED TOXICOKINETIC AND PHARMACOKINETIC (PBPK) MODELING; 2 PBPK Modeling: A Primer; 3 Pharmacokinetic Modeling of Manganese - An Essential Element; 4 Physiologically Based Modeling of Pharmacokinetic Interactions in Chemical Mixtures; 5 Physiological Parameters and Databases for PBPK Modeling; SECTION 3 MODELING TOXICANT-TARGET INTERACTIONS; 6 Modeling Cholinesterase Inhibition
7 Modeling of Protein Induction and Dose-Dependent Hepatic Sequestration8 Bistable Signaling Motifs and Cell Fate Decisions; 9 Ultrasensitive Response Motifs in Biochemical Networks; 10 Gene and Protein Expression - Modeling Nested Motifs in Cellular and Tissue Response Networks; 11 Modeling Liver and Kidney Cytotoxicity; SECTION 4 MODELING TISSUE AND ORGANISM RESPONSES; 12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat; 13 Two-Stage Clonal Growth Modeling of Cancer; 14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures 15 (Q)SAR Models of Adverse Responses: Acute Systemic ToxicitySECTION 5 MODEL APPLICATION AND EVALUATION; 16 Modeling Exposures to Chemicals From Multiple Sources and Routes; 17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data; 18 Quantitative Modeling in Noncancer Risk Assessment; 19 Application of Physiologically Based Pharmacokinetic Modeling in Health Risk Assessment; 20 Uncertainty, Variability, and Sensitivity Analyses in Simulation Models; 21 Evaluation of Quantitative Models in Toxicology: Progress and Challenges; Index |
Record Nr. | UNINA-9910830686103321 |
Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Quantitative modeling in toxicology [[electronic resource] /] / editors, Kannan Krishnan, Melvin E. Andersen |
Pubbl/distr/stampa | Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 |
Descrizione fisica | 1 online resource (505 p.) |
Disciplina |
615.90015118
615.907 |
Altri autori (Persone) |
KrishnanKannan <1961->
AndersenMelvin E |
Soggetto topico |
Toxicology - Mathematical models
Biological models |
ISBN |
1-282-68958-4
9786612689581 0-470-68626-X 0-470-68670-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Quantitative Modeling in Toxicology; Contents; Preface; About the Editors; About the Book; List of Contributors; SECTION 1 INTRODUCTION; 1 Quantitative Modeling in Toxicology: An Introduction; SECTION 2 PHYSIOLOGICALLY-BASED TOXICOKINETIC AND PHARMACOKINETIC (PBPK) MODELING; 2 PBPK Modeling: A Primer; 3 Pharmacokinetic Modeling of Manganese - An Essential Element; 4 Physiologically Based Modeling of Pharmacokinetic Interactions in Chemical Mixtures; 5 Physiological Parameters and Databases for PBPK Modeling; SECTION 3 MODELING TOXICANT-TARGET INTERACTIONS; 6 Modeling Cholinesterase Inhibition
7 Modeling of Protein Induction and Dose-Dependent Hepatic Sequestration8 Bistable Signaling Motifs and Cell Fate Decisions; 9 Ultrasensitive Response Motifs in Biochemical Networks; 10 Gene and Protein Expression - Modeling Nested Motifs in Cellular and Tissue Response Networks; 11 Modeling Liver and Kidney Cytotoxicity; SECTION 4 MODELING TISSUE AND ORGANISM RESPONSES; 12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat; 13 Two-Stage Clonal Growth Modeling of Cancer; 14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures 15 (Q)SAR Models of Adverse Responses: Acute Systemic ToxicitySECTION 5 MODEL APPLICATION AND EVALUATION; 16 Modeling Exposures to Chemicals From Multiple Sources and Routes; 17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data; 18 Quantitative Modeling in Noncancer Risk Assessment; 19 Application of Physiologically Based Pharmacokinetic Modeling in Health Risk Assessment; 20 Uncertainty, Variability, and Sensitivity Analyses in Simulation Models; 21 Evaluation of Quantitative Models in Toxicology: Progress and Challenges; Index |
Record Nr. | UNINA-9910840811503321 |
Chichester, West Sussex ; ; Hoboken, : John Wiley & Sons, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Statistical Methods at the Forefront of Biomedical Advances [[electronic resource] /] / edited by Yolanda Larriba |
Autore | Larriba Yolanda |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (280 pages) |
Disciplina | 610.21 |
Soggetto topico |
Biometry
Biomedical engineering Bioinformatics Biological models Biostatistics Biomedical Engineering and Bioengineering Computational and Systems Biology Biological Models |
ISBN | 3-031-32729-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Forecasting of SARS-COV-2 dynamic: beyond the classical SIR model -- Derivation of OED methods for applications in cytogenetic biodosimetry -- Minimum Phi-divergence tests for ophthalmological data grouped in clusters -- Multimodality test for determining which genes distinguish oncological patients -- Exploring the relationship between different cancer sites using disease mapping models -- Advances in flow cytometry gating based on distances and divergences in probability spaces -- Application of quantile regression models for biomedical data -- Hippocampus shape analysis via skeletal models and kernel smoothing -- Methods for analysis of microbiome count data with applications -- The FMM model as a classifier of cardiovascular pathologies -- A novel statistical insight of the circadian markers that govern cardiac rhythms -- Sleep and circadian synchronization assessment from multivariate recordings. . |
Record Nr. | UNINA-9910741181603321 |
Larriba Yolanda
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Systems biology [[electronic resource] ] : philosophical foundations / / edited by Fred C. Boogerd ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2007 |
Descrizione fisica | 1 online resource (361 p.) |
Disciplina |
570.11
571 |
Altri autori (Persone) | BoogerdFred C |
Soggetto topico |
Biology - Philosophy
Biological systems Biological models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-00380-8
9786611003807 0-08-047527-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Systems Biology; Copyright Page; Table of Contents; List of Contributors; Contributor Biographies; Preface; SECTION I Introduction; Chapter 1 Towards philosophical foundations of Systems Biology: introduction; 1. SYSTEMS BIOLOGY: A NEW SCIENCE IN SEARCH OF METHODOLOGIES AND PHILOSOPHICAL FOUNDATIONS; 2. SYSTEMS BIOLOGY; 2.1. History of systems biology; 2.2. What is contemporary systems biology?; 2.3. Approaches to systems biology; 3. TOWARDS A PHILOSOPHY OF SYSTEMS BIOLOGY; 3.1. The philosophy of molecular biology itself needs no further elaboration
3.2. Philosophers focus on philosophy of evolutionary biology3.3. A philosophy of systems biology is lacking but needed; 4. INTRODUCTION OF A NUMBER OF PHILOSOPHICAL ASPECTS OF SYSTEMS BIOLOGY; 4.1. Two types of reductionism; 4.2. A continuum of reductionism to antireductionism; 4.3. Types of explanation; 4.4. Mechanistic explanation; 4.5. Systems biology and models; 4.6. What is life?; 5. AIM AND OVERVIEW OF THE BOOK; REFERENCES; SECTION II Research programs of Systems Biology; Chapter 2 The methodologies of systems biology; SUMMARY 1. THE METHODOLOGY AND PHILOSOPHICAL FOUNDATIONS OF THE VARIOUS SCIENCES1.1. Physics; 1.2. Biology; 1.3. Biochemistry and molecular biology; 1.4. Cell Biology: The living cell; 2. LIMITATIONS TO THE SCIENTIFIC STATUS OF BIOCHEMISTRY AND MOLECULAR BIOLOGY; 2.1. Inaccuracy; 2.2. Inability to deal with emergence; 2.3. Frustrated aspiration of biochemistry and molecular biology to . . . biology; 2.4. Irreducibility; 2.5. Lack of testability because of undefinedness; 2.6. Lack of experimental accessibility; 2.7. Lack of analysability; 3. RISING ABOVE THE LIMITATIONS; 3.1. Genomics 3.2. Soon everything will be known . . . : Will biology become physics, at last?3.3. Observing or understanding?; 3.4. Systems biology; 4. TOWARDS A SYSTEMATIC METHODOLOGY OF SYSTEMS BIOLOGY; 4.1. The goals of systems biology; 4.2. Systems biology: What it is; 4.3. The spiral of knowledge; 4.4. The special role of mathematics in systems biology: Calculating emergence; ACKNOWLEDGEMENTS; REFERENCES; Chapter 3 Methodology is Philosophy; SUMMARY; 1. INTRODUCTION; 2. FROM MOLECULES TO DIABETES VIA METABOLISM AND SYSTEMIC PHYSIOLOGY; 3. MRS AND MCA FORM A SUCCESSFUL METHODOLOGY FOR SYSTEMS BIOLOGY 4. CONCLUSIONREFERENCES; Chapter 4 How can we understand metabolism?; SUMMARY; 1. INTRODUCTION; 2. TRADITIONAL PRINCIPLES OF METABOLISM; 3. THE RISE OF SYSTEMS ANALYSIS OF METABOLISM; 4. SHOULD WE EXPECT METABOLISM TO BE UNDERSTANDABLE?; 5. IS SIMULATING CELL METABOLISM THE SAME AS UNDERSTANDING IT?; REFERENCES; Chapter 5 On building reliable pictures with unreliable data: An evolutionary and developmental coda for the new systems biology?; SUMMARY; 1. INTRODUCTION; 2. THE NEW SYSTEMS BIOLOGY AND EVO-DEVO; 3. THE PROBLEM OF DATA RELIABILITY IN THE ANALYSIS OF LARGE SYSTEMS 4. DATA ERRORS AND MOLAR SYSTEM PROPERTIES |
Record Nr. | UNINA-9910457277303321 |
Amsterdam ; ; Boston, : Elsevier, 2007 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Systems biology [[electronic resource] ] : philosophical foundations / / edited by Fred C. Boogerd ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2007 |
Descrizione fisica | 1 online resource (361 p.) |
Disciplina |
570.11
571 |
Altri autori (Persone) | BoogerdFred C |
Soggetto topico |
Biology - Philosophy
Biological systems Biological models |
ISBN |
1-281-00380-8
9786611003807 0-08-047527-2 |
Classificazione |
42.10
CC 3700 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Systems Biology; Copyright Page; Table of Contents; List of Contributors; Contributor Biographies; Preface; SECTION I Introduction; Chapter 1 Towards philosophical foundations of Systems Biology: introduction; 1. SYSTEMS BIOLOGY: A NEW SCIENCE IN SEARCH OF METHODOLOGIES AND PHILOSOPHICAL FOUNDATIONS; 2. SYSTEMS BIOLOGY; 2.1. History of systems biology; 2.2. What is contemporary systems biology?; 2.3. Approaches to systems biology; 3. TOWARDS A PHILOSOPHY OF SYSTEMS BIOLOGY; 3.1. The philosophy of molecular biology itself needs no further elaboration
3.2. Philosophers focus on philosophy of evolutionary biology3.3. A philosophy of systems biology is lacking but needed; 4. INTRODUCTION OF A NUMBER OF PHILOSOPHICAL ASPECTS OF SYSTEMS BIOLOGY; 4.1. Two types of reductionism; 4.2. A continuum of reductionism to antireductionism; 4.3. Types of explanation; 4.4. Mechanistic explanation; 4.5. Systems biology and models; 4.6. What is life?; 5. AIM AND OVERVIEW OF THE BOOK; REFERENCES; SECTION II Research programs of Systems Biology; Chapter 2 The methodologies of systems biology; SUMMARY 1. THE METHODOLOGY AND PHILOSOPHICAL FOUNDATIONS OF THE VARIOUS SCIENCES1.1. Physics; 1.2. Biology; 1.3. Biochemistry and molecular biology; 1.4. Cell Biology: The living cell; 2. LIMITATIONS TO THE SCIENTIFIC STATUS OF BIOCHEMISTRY AND MOLECULAR BIOLOGY; 2.1. Inaccuracy; 2.2. Inability to deal with emergence; 2.3. Frustrated aspiration of biochemistry and molecular biology to . . . biology; 2.4. Irreducibility; 2.5. Lack of testability because of undefinedness; 2.6. Lack of experimental accessibility; 2.7. Lack of analysability; 3. RISING ABOVE THE LIMITATIONS; 3.1. Genomics 3.2. Soon everything will be known . . . : Will biology become physics, at last?3.3. Observing or understanding?; 3.4. Systems biology; 4. TOWARDS A SYSTEMATIC METHODOLOGY OF SYSTEMS BIOLOGY; 4.1. The goals of systems biology; 4.2. Systems biology: What it is; 4.3. The spiral of knowledge; 4.4. The special role of mathematics in systems biology: Calculating emergence; ACKNOWLEDGEMENTS; REFERENCES; Chapter 3 Methodology is Philosophy; SUMMARY; 1. INTRODUCTION; 2. FROM MOLECULES TO DIABETES VIA METABOLISM AND SYSTEMIC PHYSIOLOGY; 3. MRS AND MCA FORM A SUCCESSFUL METHODOLOGY FOR SYSTEMS BIOLOGY 4. CONCLUSIONREFERENCES; Chapter 4 How can we understand metabolism?; SUMMARY; 1. INTRODUCTION; 2. TRADITIONAL PRINCIPLES OF METABOLISM; 3. THE RISE OF SYSTEMS ANALYSIS OF METABOLISM; 4. SHOULD WE EXPECT METABOLISM TO BE UNDERSTANDABLE?; 5. IS SIMULATING CELL METABOLISM THE SAME AS UNDERSTANDING IT?; REFERENCES; Chapter 5 On building reliable pictures with unreliable data: An evolutionary and developmental coda for the new systems biology?; SUMMARY; 1. INTRODUCTION; 2. THE NEW SYSTEMS BIOLOGY AND EVO-DEVO; 3. THE PROBLEM OF DATA RELIABILITY IN THE ANALYSIS OF LARGE SYSTEMS 4. DATA ERRORS AND MOLAR SYSTEM PROPERTIES |
Record Nr. | UNINA-9910784597203321 |
Amsterdam ; ; Boston, : Elsevier, 2007 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Systems biology [[electronic resource] ] : philosophical foundations / / edited by Fred C. Boogerd ... [et al.] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2007 |
Descrizione fisica | 1 online resource (361 p.) |
Disciplina |
570.11
571 |
Altri autori (Persone) | BoogerdFred C |
Soggetto topico |
Biology - Philosophy
Biological systems Biological models |
ISBN |
1-281-00380-8
9786611003807 0-08-047527-2 |
Classificazione |
42.10
CC 3700 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Systems Biology; Copyright Page; Table of Contents; List of Contributors; Contributor Biographies; Preface; SECTION I Introduction; Chapter 1 Towards philosophical foundations of Systems Biology: introduction; 1. SYSTEMS BIOLOGY: A NEW SCIENCE IN SEARCH OF METHODOLOGIES AND PHILOSOPHICAL FOUNDATIONS; 2. SYSTEMS BIOLOGY; 2.1. History of systems biology; 2.2. What is contemporary systems biology?; 2.3. Approaches to systems biology; 3. TOWARDS A PHILOSOPHY OF SYSTEMS BIOLOGY; 3.1. The philosophy of molecular biology itself needs no further elaboration
3.2. Philosophers focus on philosophy of evolutionary biology3.3. A philosophy of systems biology is lacking but needed; 4. INTRODUCTION OF A NUMBER OF PHILOSOPHICAL ASPECTS OF SYSTEMS BIOLOGY; 4.1. Two types of reductionism; 4.2. A continuum of reductionism to antireductionism; 4.3. Types of explanation; 4.4. Mechanistic explanation; 4.5. Systems biology and models; 4.6. What is life?; 5. AIM AND OVERVIEW OF THE BOOK; REFERENCES; SECTION II Research programs of Systems Biology; Chapter 2 The methodologies of systems biology; SUMMARY 1. THE METHODOLOGY AND PHILOSOPHICAL FOUNDATIONS OF THE VARIOUS SCIENCES1.1. Physics; 1.2. Biology; 1.3. Biochemistry and molecular biology; 1.4. Cell Biology: The living cell; 2. LIMITATIONS TO THE SCIENTIFIC STATUS OF BIOCHEMISTRY AND MOLECULAR BIOLOGY; 2.1. Inaccuracy; 2.2. Inability to deal with emergence; 2.3. Frustrated aspiration of biochemistry and molecular biology to . . . biology; 2.4. Irreducibility; 2.5. Lack of testability because of undefinedness; 2.6. Lack of experimental accessibility; 2.7. Lack of analysability; 3. RISING ABOVE THE LIMITATIONS; 3.1. Genomics 3.2. Soon everything will be known . . . : Will biology become physics, at last?3.3. Observing or understanding?; 3.4. Systems biology; 4. TOWARDS A SYSTEMATIC METHODOLOGY OF SYSTEMS BIOLOGY; 4.1. The goals of systems biology; 4.2. Systems biology: What it is; 4.3. The spiral of knowledge; 4.4. The special role of mathematics in systems biology: Calculating emergence; ACKNOWLEDGEMENTS; REFERENCES; Chapter 3 Methodology is Philosophy; SUMMARY; 1. INTRODUCTION; 2. FROM MOLECULES TO DIABETES VIA METABOLISM AND SYSTEMIC PHYSIOLOGY; 3. MRS AND MCA FORM A SUCCESSFUL METHODOLOGY FOR SYSTEMS BIOLOGY 4. CONCLUSIONREFERENCES; Chapter 4 How can we understand metabolism?; SUMMARY; 1. INTRODUCTION; 2. TRADITIONAL PRINCIPLES OF METABOLISM; 3. THE RISE OF SYSTEMS ANALYSIS OF METABOLISM; 4. SHOULD WE EXPECT METABOLISM TO BE UNDERSTANDABLE?; 5. IS SIMULATING CELL METABOLISM THE SAME AS UNDERSTANDING IT?; REFERENCES; Chapter 5 On building reliable pictures with unreliable data: An evolutionary and developmental coda for the new systems biology?; SUMMARY; 1. INTRODUCTION; 2. THE NEW SYSTEMS BIOLOGY AND EVO-DEVO; 3. THE PROBLEM OF DATA RELIABILITY IN THE ANALYSIS OF LARGE SYSTEMS 4. DATA ERRORS AND MOLAR SYSTEM PROPERTIES |
Record Nr. | UNINA-9910822197403321 |
Amsterdam ; ; Boston, : Elsevier, 2007 | ||
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Lo trovi qui: Univ. Federico II | ||
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