Systems biology :: simulation of dynamic network states /
Master the process of building MASS models with real examples and hands-on practice.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, UK ; New York :
Cambridge University Press,
2011.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Master the process of building MASS models with real examples and hands-on practice. |
| Beschreibung: | 1 online resource (xiii, 317 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 306-313) and index. |
| ISBN: | 9781139117418 1139117416 1283296144 9781283296144 9781139128070 1139128078 9781139115247 1139115243 9780511736179 0511736177 9781139113052 1107220246 9781107220249 1107086655 9781107086654 9786613296146 6613296147 1139123165 9781139123167 1139113054 |
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| 100 | 1 | |a Palsson, Bernhard, |e author. |0 http://id.loc.gov/authorities/names/nb98086172 | |
| 245 | 1 | 0 | |a Systems biology : |b simulation of dynamic network states / |c Bernhard Ø. Palsson. |
| 264 | 1 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2011. | |
| 264 | 4 | |c ©2011 | |
| 300 | |a 1 online resource (xiii, 317 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 504 | |a Includes bibliographical references (pages 306-313) and index. | ||
| 505 | 0 | |a Cover; Title; Copyright; Contents; Preface; 1 Introduction; 1.1 Biological networks; 1.2 Why build and study models?; 1.3 Characterizing dynamic states; 1.4 Formulating dynamic network models; 1.5 The basic information is in a matrix format; 1.6 Studying dynamic models; 1.7 Summary; 2 Basic concepts; 2.1 Properties of dynamic states; 2.2 Primer on rate laws; 2.3 More on aggregate variables; 2.4 Time-scale decomposition; 2.5 Network structure versus dynamics; 2.6 Physico-chemical effects; 2.7 Summary; Part I Simulation of dynamic states; 3 Dynamic simulation: the basic procedure. | |
| 505 | 8 | |a 3.1 Numerical solutions3.2 Graphically displaying the solution; 3.3 Post-processing the solution; 3.4 Demonstration of the simulation procedure; 3.5 Summary; 4 Chemical reactions; 4.1 Basic properties of reactions; 4.2 The reversible linear reaction; 4.3 The reversible bilinear reaction; 4.4 Connected reversible linear reactions; 4.5 Connected reversible bilinear reactions; 4.6 Summary; 5 Enzyme kinetics; 5.1 Enzyme catalysis; 5.2 Deriving enzymatic rate laws; 5.3 Michaelis-Menten kinetics; 5.4 Hill kinetics for enzyme regulation; 5.5 The symmetry model; 5.6 Scaling dynamic descriptions. | |
| 505 | 8 | |a 5.7 Summary6 Open systems; 6.1 Basic concepts; 6.2 Reversible reaction in an open environment; 6.3 Michaelis-Menten kinetics in an open environment; 6.4 Summary; Part II Biological characteristics; 7 Orders of magnitude; 7.1 Cellular composition and ultra-structure; 7.2 Metabolism; 7.2.1 What are typical concentrations?; 7.2.2 What are typical metabolic fluxes?; 7.2.3 What are typical turnover times?; 7.2.4 What are typical power densities?; 7.3 Macromolecules; 7.3.1 What are typical characteristics of a genome?; 7.3.2 What are typical protein concentrations?; 7.3.3 What are typical fluxes? | |
| 505 | 8 | |a 7.3.4 What are typical turnover times?7.4 Cell growth and phenotypic functions; 7.4.1 What are typical cell-specific production rates?; 7.4.2 Balancing the fluxes and composition in an entire cell; 7.5 Summary; 8 Stoichiometric structure; 8.1 Bilinear biochemical reactions; 8.2 Bilinearity leads to a tangle of cycles; 8.3 Trafficking of high-energy phosphate bonds; 8.3.1 The basic structure of the ``core'' module; 8.3.2 Buffering the energy charge; 8.3.3 Open system: long-term adjustment of the capacity; 8.4 Charging and recovering high-energy bonds; 8.5 Summary. | |
| 505 | 8 | |a 9 Regulation as elementary phenomena9.1 Regulation of enzymes; 9.2 Regulatory signals: phenomenology; 9.3 The effects of regulation on dynamic states; 9.4 Local regulation with Hill kinetics; 9.4.1 Inhibition; 9.4.2 Activation; 9.5 Feedback inhibition of pathways; 9.6 Increasing network complexity; 9.6.1 Regulation of protein synthesis; 9.6.2 Tight regulation of enzyme activity; 9.7 Summary; Part III Metabolism; 10 Glycolysis; 10.1 Glycolysis as a system; 10.2 The stoichiometric matrix; 10.3 Defining the steady state; 10.4 Simulating mass balances: biochemistry. | |
| 505 | 8 | |a 10.5 Pooling: towards systems biology. | |
| 520 | |a Master the process of building MASS models with real examples and hands-on practice. | ||
| 588 | 0 | |a Online resource; title from PDF title page (Cambridge Core, viewed January 22, 2018). | |
| 546 | |a English. | ||
| 650 | 0 | |a Systems biology. |0 http://id.loc.gov/authorities/subjects/sh2008002926 | |
| 650 | 0 | |a Computational biology. |0 http://id.loc.gov/authorities/subjects/sh2003008355 | |
| 650 | 0 | |a Genomics. |0 http://id.loc.gov/authorities/subjects/sh2002000809 | |
| 650 | 0 | |a Bioinformatics. |0 http://id.loc.gov/authorities/subjects/sh00003585 | |
| 650 | 1 | 2 | |a Systems Biology |
| 650 | 2 | 2 | |a Metabolic Networks and Pathways |
| 650 | 2 | 2 | |a Metabolomics |
| 650 | 2 | |a Computational Biology |0 https://id.nlm.nih.gov/mesh/D019295 | |
| 650 | 2 | |a Genomics |0 https://id.nlm.nih.gov/mesh/D023281 | |
| 650 | 6 | |a Biologie systémique. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Génomique. | |
| 650 | 6 | |a Métabolomique. | |
| 650 | 7 | |a COMPUTERS |x Bioinformatics. |2 bisacsh | |
| 650 | 7 | |a Systems biology |2 fast | |
| 650 | 7 | |a Bioinformatics |2 fast | |
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| 650 | 7 | |a Genomics |2 fast | |
| 758 | |i has work: |a Systems biology (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGJkxHvCpKcv9hTffydQhd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Palsson, Bernhard. |t Systems biology. |d Cambridge, UK ; New York : Cambridge University Press, 2011 |z 9781107001596 |w (DLC) 2011456161 |w (OCoLC)690090197 |
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Datensatz im Suchindex
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| adam_text | |
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| author | Palsson, Bernhard |
| author_GND | http://id.loc.gov/authorities/names/nb98086172 |
| author_facet | Palsson, Bernhard |
| author_role | aut |
| author_sort | Palsson, Bernhard |
| author_variant | b p bp |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QH324 |
| callnumber-raw | QH324.2 .P352 2011eb |
| callnumber-search | QH324.2 .P352 2011eb |
| callnumber-sort | QH 3324.2 P352 42011EB |
| callnumber-subject | QH - Natural History and Biology |
| collection | ZDB-4-EBA |
| contents | Cover; Title; Copyright; Contents; Preface; 1 Introduction; 1.1 Biological networks; 1.2 Why build and study models?; 1.3 Characterizing dynamic states; 1.4 Formulating dynamic network models; 1.5 The basic information is in a matrix format; 1.6 Studying dynamic models; 1.7 Summary; 2 Basic concepts; 2.1 Properties of dynamic states; 2.2 Primer on rate laws; 2.3 More on aggregate variables; 2.4 Time-scale decomposition; 2.5 Network structure versus dynamics; 2.6 Physico-chemical effects; 2.7 Summary; Part I Simulation of dynamic states; 3 Dynamic simulation: the basic procedure. 3.1 Numerical solutions3.2 Graphically displaying the solution; 3.3 Post-processing the solution; 3.4 Demonstration of the simulation procedure; 3.5 Summary; 4 Chemical reactions; 4.1 Basic properties of reactions; 4.2 The reversible linear reaction; 4.3 The reversible bilinear reaction; 4.4 Connected reversible linear reactions; 4.5 Connected reversible bilinear reactions; 4.6 Summary; 5 Enzyme kinetics; 5.1 Enzyme catalysis; 5.2 Deriving enzymatic rate laws; 5.3 Michaelis-Menten kinetics; 5.4 Hill kinetics for enzyme regulation; 5.5 The symmetry model; 5.6 Scaling dynamic descriptions. 5.7 Summary6 Open systems; 6.1 Basic concepts; 6.2 Reversible reaction in an open environment; 6.3 Michaelis-Menten kinetics in an open environment; 6.4 Summary; Part II Biological characteristics; 7 Orders of magnitude; 7.1 Cellular composition and ultra-structure; 7.2 Metabolism; 7.2.1 What are typical concentrations?; 7.2.2 What are typical metabolic fluxes?; 7.2.3 What are typical turnover times?; 7.2.4 What are typical power densities?; 7.3 Macromolecules; 7.3.1 What are typical characteristics of a genome?; 7.3.2 What are typical protein concentrations?; 7.3.3 What are typical fluxes? 7.3.4 What are typical turnover times?7.4 Cell growth and phenotypic functions; 7.4.1 What are typical cell-specific production rates?; 7.4.2 Balancing the fluxes and composition in an entire cell; 7.5 Summary; 8 Stoichiometric structure; 8.1 Bilinear biochemical reactions; 8.2 Bilinearity leads to a tangle of cycles; 8.3 Trafficking of high-energy phosphate bonds; 8.3.1 The basic structure of the ``core'' module; 8.3.2 Buffering the energy charge; 8.3.3 Open system: long-term adjustment of the capacity; 8.4 Charging and recovering high-energy bonds; 8.5 Summary. 9 Regulation as elementary phenomena9.1 Regulation of enzymes; 9.2 Regulatory signals: phenomenology; 9.3 The effects of regulation on dynamic states; 9.4 Local regulation with Hill kinetics; 9.4.1 Inhibition; 9.4.2 Activation; 9.5 Feedback inhibition of pathways; 9.6 Increasing network complexity; 9.6.1 Regulation of protein synthesis; 9.6.2 Tight regulation of enzyme activity; 9.7 Summary; Part III Metabolism; 10 Glycolysis; 10.1 Glycolysis as a system; 10.2 The stoichiometric matrix; 10.3 Defining the steady state; 10.4 Simulating mass balances: biochemistry. 10.5 Pooling: towards systems biology. |
| ctrlnum | (OCoLC)769341822 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 572 - Biochemistry |
| dewey-raw | 572.80285 |
| dewey-search | 572.80285 |
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| discipline | Biologie |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:10Z |
| institution | BVB |
| isbn | 9781139117418 1139117416 1283296144 9781283296144 9781139128070 1139128078 9781139115247 1139115243 9780511736179 0511736177 9781139113052 1107220246 9781107220249 1107086655 9781107086654 9786613296146 6613296147 1139123165 9781139123167 1139113054 |
| language | English |
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| physical | 1 online resource (xiii, 317 pages) : illustrations |
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| spelling | Palsson, Bernhard, author. http://id.loc.gov/authorities/names/nb98086172 Systems biology : simulation of dynamic network states / Bernhard Ø. Palsson. Cambridge, UK ; New York : Cambridge University Press, 2011. ©2011 1 online resource (xiii, 317 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Includes bibliographical references (pages 306-313) and index. Cover; Title; Copyright; Contents; Preface; 1 Introduction; 1.1 Biological networks; 1.2 Why build and study models?; 1.3 Characterizing dynamic states; 1.4 Formulating dynamic network models; 1.5 The basic information is in a matrix format; 1.6 Studying dynamic models; 1.7 Summary; 2 Basic concepts; 2.1 Properties of dynamic states; 2.2 Primer on rate laws; 2.3 More on aggregate variables; 2.4 Time-scale decomposition; 2.5 Network structure versus dynamics; 2.6 Physico-chemical effects; 2.7 Summary; Part I Simulation of dynamic states; 3 Dynamic simulation: the basic procedure. 3.1 Numerical solutions3.2 Graphically displaying the solution; 3.3 Post-processing the solution; 3.4 Demonstration of the simulation procedure; 3.5 Summary; 4 Chemical reactions; 4.1 Basic properties of reactions; 4.2 The reversible linear reaction; 4.3 The reversible bilinear reaction; 4.4 Connected reversible linear reactions; 4.5 Connected reversible bilinear reactions; 4.6 Summary; 5 Enzyme kinetics; 5.1 Enzyme catalysis; 5.2 Deriving enzymatic rate laws; 5.3 Michaelis-Menten kinetics; 5.4 Hill kinetics for enzyme regulation; 5.5 The symmetry model; 5.6 Scaling dynamic descriptions. 5.7 Summary6 Open systems; 6.1 Basic concepts; 6.2 Reversible reaction in an open environment; 6.3 Michaelis-Menten kinetics in an open environment; 6.4 Summary; Part II Biological characteristics; 7 Orders of magnitude; 7.1 Cellular composition and ultra-structure; 7.2 Metabolism; 7.2.1 What are typical concentrations?; 7.2.2 What are typical metabolic fluxes?; 7.2.3 What are typical turnover times?; 7.2.4 What are typical power densities?; 7.3 Macromolecules; 7.3.1 What are typical characteristics of a genome?; 7.3.2 What are typical protein concentrations?; 7.3.3 What are typical fluxes? 7.3.4 What are typical turnover times?7.4 Cell growth and phenotypic functions; 7.4.1 What are typical cell-specific production rates?; 7.4.2 Balancing the fluxes and composition in an entire cell; 7.5 Summary; 8 Stoichiometric structure; 8.1 Bilinear biochemical reactions; 8.2 Bilinearity leads to a tangle of cycles; 8.3 Trafficking of high-energy phosphate bonds; 8.3.1 The basic structure of the ``core'' module; 8.3.2 Buffering the energy charge; 8.3.3 Open system: long-term adjustment of the capacity; 8.4 Charging and recovering high-energy bonds; 8.5 Summary. 9 Regulation as elementary phenomena9.1 Regulation of enzymes; 9.2 Regulatory signals: phenomenology; 9.3 The effects of regulation on dynamic states; 9.4 Local regulation with Hill kinetics; 9.4.1 Inhibition; 9.4.2 Activation; 9.5 Feedback inhibition of pathways; 9.6 Increasing network complexity; 9.6.1 Regulation of protein synthesis; 9.6.2 Tight regulation of enzyme activity; 9.7 Summary; Part III Metabolism; 10 Glycolysis; 10.1 Glycolysis as a system; 10.2 The stoichiometric matrix; 10.3 Defining the steady state; 10.4 Simulating mass balances: biochemistry. 10.5 Pooling: towards systems biology. Master the process of building MASS models with real examples and hands-on practice. Online resource; title from PDF title page (Cambridge Core, viewed January 22, 2018). English. Systems biology. http://id.loc.gov/authorities/subjects/sh2008002926 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Systems Biology Metabolic Networks and Pathways Metabolomics Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Biologie systémique. Bio-informatique. Génomique. Métabolomique. COMPUTERS Bioinformatics. bisacsh Systems biology fast Bioinformatics fast Computational biology fast Genomics fast has work: Systems biology (Text) https://id.oclc.org/worldcat/entity/E39PCGJkxHvCpKcv9hTffydQhd https://id.oclc.org/worldcat/ontology/hasWork Print version: Palsson, Bernhard. Systems biology. Cambridge, UK ; New York : Cambridge University Press, 2011 9781107001596 (DLC) 2011456161 (OCoLC)690090197 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=399280 Volltext |
| spellingShingle | Palsson, Bernhard Systems biology : simulation of dynamic network states / Cover; Title; Copyright; Contents; Preface; 1 Introduction; 1.1 Biological networks; 1.2 Why build and study models?; 1.3 Characterizing dynamic states; 1.4 Formulating dynamic network models; 1.5 The basic information is in a matrix format; 1.6 Studying dynamic models; 1.7 Summary; 2 Basic concepts; 2.1 Properties of dynamic states; 2.2 Primer on rate laws; 2.3 More on aggregate variables; 2.4 Time-scale decomposition; 2.5 Network structure versus dynamics; 2.6 Physico-chemical effects; 2.7 Summary; Part I Simulation of dynamic states; 3 Dynamic simulation: the basic procedure. 3.1 Numerical solutions3.2 Graphically displaying the solution; 3.3 Post-processing the solution; 3.4 Demonstration of the simulation procedure; 3.5 Summary; 4 Chemical reactions; 4.1 Basic properties of reactions; 4.2 The reversible linear reaction; 4.3 The reversible bilinear reaction; 4.4 Connected reversible linear reactions; 4.5 Connected reversible bilinear reactions; 4.6 Summary; 5 Enzyme kinetics; 5.1 Enzyme catalysis; 5.2 Deriving enzymatic rate laws; 5.3 Michaelis-Menten kinetics; 5.4 Hill kinetics for enzyme regulation; 5.5 The symmetry model; 5.6 Scaling dynamic descriptions. 5.7 Summary6 Open systems; 6.1 Basic concepts; 6.2 Reversible reaction in an open environment; 6.3 Michaelis-Menten kinetics in an open environment; 6.4 Summary; Part II Biological characteristics; 7 Orders of magnitude; 7.1 Cellular composition and ultra-structure; 7.2 Metabolism; 7.2.1 What are typical concentrations?; 7.2.2 What are typical metabolic fluxes?; 7.2.3 What are typical turnover times?; 7.2.4 What are typical power densities?; 7.3 Macromolecules; 7.3.1 What are typical characteristics of a genome?; 7.3.2 What are typical protein concentrations?; 7.3.3 What are typical fluxes? 7.3.4 What are typical turnover times?7.4 Cell growth and phenotypic functions; 7.4.1 What are typical cell-specific production rates?; 7.4.2 Balancing the fluxes and composition in an entire cell; 7.5 Summary; 8 Stoichiometric structure; 8.1 Bilinear biochemical reactions; 8.2 Bilinearity leads to a tangle of cycles; 8.3 Trafficking of high-energy phosphate bonds; 8.3.1 The basic structure of the ``core'' module; 8.3.2 Buffering the energy charge; 8.3.3 Open system: long-term adjustment of the capacity; 8.4 Charging and recovering high-energy bonds; 8.5 Summary. 9 Regulation as elementary phenomena9.1 Regulation of enzymes; 9.2 Regulatory signals: phenomenology; 9.3 The effects of regulation on dynamic states; 9.4 Local regulation with Hill kinetics; 9.4.1 Inhibition; 9.4.2 Activation; 9.5 Feedback inhibition of pathways; 9.6 Increasing network complexity; 9.6.1 Regulation of protein synthesis; 9.6.2 Tight regulation of enzyme activity; 9.7 Summary; Part III Metabolism; 10 Glycolysis; 10.1 Glycolysis as a system; 10.2 The stoichiometric matrix; 10.3 Defining the steady state; 10.4 Simulating mass balances: biochemistry. 10.5 Pooling: towards systems biology. Systems biology. http://id.loc.gov/authorities/subjects/sh2008002926 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Systems Biology Metabolic Networks and Pathways Metabolomics Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Biologie systémique. Bio-informatique. Génomique. Métabolomique. COMPUTERS Bioinformatics. bisacsh Systems biology fast Bioinformatics fast Computational biology fast Genomics fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2008002926 http://id.loc.gov/authorities/subjects/sh2003008355 http://id.loc.gov/authorities/subjects/sh2002000809 http://id.loc.gov/authorities/subjects/sh00003585 https://id.nlm.nih.gov/mesh/D019295 https://id.nlm.nih.gov/mesh/D023281 |
| title | Systems biology : simulation of dynamic network states / |
| title_auth | Systems biology : simulation of dynamic network states / |
| title_exact_search | Systems biology : simulation of dynamic network states / |
| title_full | Systems biology : simulation of dynamic network states / Bernhard Ø. Palsson. |
| title_fullStr | Systems biology : simulation of dynamic network states / Bernhard Ø. Palsson. |
| title_full_unstemmed | Systems biology : simulation of dynamic network states / Bernhard Ø. Palsson. |
| title_short | Systems biology : |
| title_sort | systems biology simulation of dynamic network states |
| title_sub | simulation of dynamic network states / |
| topic | Systems biology. http://id.loc.gov/authorities/subjects/sh2008002926 Computational biology. http://id.loc.gov/authorities/subjects/sh2003008355 Genomics. http://id.loc.gov/authorities/subjects/sh2002000809 Bioinformatics. http://id.loc.gov/authorities/subjects/sh00003585 Systems Biology Metabolic Networks and Pathways Metabolomics Computational Biology https://id.nlm.nih.gov/mesh/D019295 Genomics https://id.nlm.nih.gov/mesh/D023281 Biologie systémique. Bio-informatique. Génomique. Métabolomique. COMPUTERS Bioinformatics. bisacsh Systems biology fast Bioinformatics fast Computational biology fast Genomics fast |
| topic_facet | Systems biology. Computational biology. Genomics. Bioinformatics. Systems Biology Metabolic Networks and Pathways Metabolomics Computational Biology Genomics Biologie systémique. Bio-informatique. Génomique. Métabolomique. COMPUTERS Bioinformatics. Systems biology Bioinformatics Computational biology |
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| work_keys_str_mv | AT palssonbernhard systemsbiologysimulationofdynamicnetworkstates |