Engineering of chemical complexity:
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New Jersey
World Scientific
[2013]
|
| Schriftenreihe: | World Scientific lecture notes in complex systems
v. 11 |
| Schlagwörter: | |
| Links: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=886725 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=886725 |
| Beschreibung: | Print version record |
| Umfang: | 1 online resource (ix, 402 pages) illustrations (some color) |
| ISBN: | 9789814616133 9814616133 9789814390453 9814390453 |
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| 245 | 1 | 0 | |a Engineering of chemical complexity |c editors, Alexander S Mikhailov, Gerhard Ertl |
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| 505 | 8 | |a Preface; CONTENTS; 1. From Simple to Complex Oscillatory Behavior in Cellular Regulatory Networks; 1. Introduction; 2. From Simple to Complex Oscillatory Dynamics in a Prototype Biochemical Model; 3. Simple Periodic Behavior in the Cdk Regulatory Network Driving the Mammalian Cell Cycle; 4. Complex Oscillatory Behavior in the Cdk Network; 5. Comparison with Other Oscillatory Cellular Networks; Acknowledgments; References; 2. Time Dependent Michaelis-Menten Equations for Open Enzyme Networks; 1. Introduction; 2. The Michaelis-Menten Equation | |
| 505 | 8 | |a 3. Perturbation Analysis of the Michaelis-Menten Equations4. Basic Open-Enzyme Network; 4.1. Perturbation analysis; 4.2. Time-dependent Michaelis-Menten equations for a larger network; 4.3. Accuracy of the perturbation scheme; 4.4. Simulation results and discussion; 5. Conclusion; Acknowledgments; References; 3. Environmental Dependence of the Activity and Essentiality of Reactions in the Metabolism of Escherichia Coli; 1. Introduction; 1.1. Structure: Metabolism as a complex network; 1.2. Function: Flux Balance Analysis; 1.3. Previous work on activity and essentiality of reactions in silico | |
| 505 | 8 | |a 2. Methods2.1. Genome-scale representation of metabolism; 2.2. Media composition; 2.3. FBA implementation; 2.4. Quantitative definition of activity and essentiality; 3. Results and Discussion; 3.1. Essential whenever active reactions; 3.2. Always active reactions; 3.3. Never essential reactions; 3.4. Partially essential reactions; 4. Conclusions; Acknowledgments; References; 4. Chemically-Driven Biological Brownian Machine; 1. Introduction; 2. Dynamics of Single Myosin Motor Proteins; 3. Mechano-Chemical Coupling of Myosin-V and -VI; 4. Strain-Sensor Mechanism | |
| 505 | 8 | |a 4.1. Quantification of mechano-sensitivity for the weak-to-strong transition4.2. Strain sensor as a rectifier of Brownian motion; 4.3. Inhibition of ATP synthesis; 5. Energetics of Myosin Motor; 5.1. Single molecule force measurement using DNA handle; 5.2. Fluctuation between lever-arm swing and the reversal under load; 5.3. Lever-arm swing versus Brownian search-and-catch; 6. Physiological Advantages of the Brownian Machine; Acknowledgments; References; 5. Diffusiophoretic Nano and Microscale Propulsion and Communication; 1. Introduction; 1.1. Reynold's number and Brownian motion | |
| 505 | 8 | |a 2. Mechanisms of Motility2.1. Electrolyte diffusiophoresis; 3. Diffusiophoresis-Based Systems; 3.1. Externally triggered diffusiophoretic systems; 3.1.1. "On/off" micro-pump and photo-colloidal diode; 3.1.2. Triggered crack-detection, targeting and repair using ion gradients; 3.2. Self-triggered diffusiophoretic system: Collective behaviors of micromotors in response to orthogonal stimuli; 3.2.1. Reversible transition between "exclusion" and "schooling"; 3.2.2. "Exclusion" in response to UV light; 3.2.3. Design of logic gate based on orthogonal stimuli; 4. Conclusion; References | |
| 505 | 8 | |a This second review volume is a follow-up to the book "Engineering of Chemical Complexity" that appeared in 2013. Co-edited by the Nobel laureate Gerhard Ertl, this book provides a broad perspective over the current research aimed at understanding, the design and control of complex chemical systems of various origins, on the scales ranging from single molecules and nano-phenomena to macroscopic chemical reactors. Self-organization behavior and emergence of coherent collective dynamics in reaction-diffusion systems, in active soft matter and biochemical networks are discussed. Special attention | |
| 650 | 7 | |a SCIENCE / Chemistry / Industrial & Technical |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Chemical & Biochemical |2 bisacsh | |
| 650 | 7 | |a Chemical engineering |2 fast | |
| 650 | 4 | |a Chemie | |
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| contents | Preface; CONTENTS; 1. From Simple to Complex Oscillatory Behavior in Cellular Regulatory Networks; 1. Introduction; 2. From Simple to Complex Oscillatory Dynamics in a Prototype Biochemical Model; 3. Simple Periodic Behavior in the Cdk Regulatory Network Driving the Mammalian Cell Cycle; 4. Complex Oscillatory Behavior in the Cdk Network; 5. Comparison with Other Oscillatory Cellular Networks; Acknowledgments; References; 2. Time Dependent Michaelis-Menten Equations for Open Enzyme Networks; 1. Introduction; 2. The Michaelis-Menten Equation 3. Perturbation Analysis of the Michaelis-Menten Equations4. Basic Open-Enzyme Network; 4.1. Perturbation analysis; 4.2. Time-dependent Michaelis-Menten equations for a larger network; 4.3. Accuracy of the perturbation scheme; 4.4. Simulation results and discussion; 5. Conclusion; Acknowledgments; References; 3. Environmental Dependence of the Activity and Essentiality of Reactions in the Metabolism of Escherichia Coli; 1. Introduction; 1.1. Structure: Metabolism as a complex network; 1.2. Function: Flux Balance Analysis; 1.3. Previous work on activity and essentiality of reactions in silico 2. Methods2.1. Genome-scale representation of metabolism; 2.2. Media composition; 2.3. FBA implementation; 2.4. Quantitative definition of activity and essentiality; 3. Results and Discussion; 3.1. Essential whenever active reactions; 3.2. Always active reactions; 3.3. Never essential reactions; 3.4. Partially essential reactions; 4. Conclusions; Acknowledgments; References; 4. Chemically-Driven Biological Brownian Machine; 1. Introduction; 2. Dynamics of Single Myosin Motor Proteins; 3. Mechano-Chemical Coupling of Myosin-V and -VI; 4. Strain-Sensor Mechanism 4.1. Quantification of mechano-sensitivity for the weak-to-strong transition4.2. Strain sensor as a rectifier of Brownian motion; 4.3. Inhibition of ATP synthesis; 5. Energetics of Myosin Motor; 5.1. Single molecule force measurement using DNA handle; 5.2. Fluctuation between lever-arm swing and the reversal under load; 5.3. Lever-arm swing versus Brownian search-and-catch; 6. Physiological Advantages of the Brownian Machine; Acknowledgments; References; 5. Diffusiophoretic Nano and Microscale Propulsion and Communication; 1. Introduction; 1.1. Reynold's number and Brownian motion 2. Mechanisms of Motility2.1. Electrolyte diffusiophoresis; 3. Diffusiophoresis-Based Systems; 3.1. Externally triggered diffusiophoretic systems; 3.1.1. "On/off" micro-pump and photo-colloidal diode; 3.1.2. Triggered crack-detection, targeting and repair using ion gradients; 3.2. Self-triggered diffusiophoretic system: Collective behaviors of micromotors in response to orthogonal stimuli; 3.2.1. Reversible transition between "exclusion" and "schooling"; 3.2.2. "Exclusion" in response to UV light; 3.2.3. Design of logic gate based on orthogonal stimuli; 4. Conclusion; References This second review volume is a follow-up to the book "Engineering of Chemical Complexity" that appeared in 2013. Co-edited by the Nobel laureate Gerhard Ertl, this book provides a broad perspective over the current research aimed at understanding, the design and control of complex chemical systems of various origins, on the scales ranging from single molecules and nano-phenomena to macroscopic chemical reactors. Self-organization behavior and emergence of coherent collective dynamics in reaction-diffusion systems, in active soft matter and biochemical networks are discussed. Special attention |
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| dewey-full | 660 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 660 - Chemical engineering |
| dewey-raw | 660 |
| dewey-search | 660 |
| dewey-sort | 3660 |
| dewey-tens | 660 - Chemical engineering |
| discipline | Chemie / Pharmazie |
| format | Electronic eBook |
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| id | DE-604.BV043783438 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T17:45:06Z |
| institution | BVB |
| isbn | 9789814616133 9814616133 9789814390453 9814390453 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029194498 |
| oclc_num | 894894810 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 online resource (ix, 402 pages) illustrations (some color) |
| psigel | ZDB-4-EBA ZDB-4-ENC ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2013 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | World Scientific |
| record_format | marc |
| series2 | World Scientific lecture notes in complex systems |
| spelling | Engineering of chemical complexity editors, Alexander S Mikhailov, Gerhard Ertl New Jersey World Scientific [2013] © 2013 1 online resource (ix, 402 pages) illustrations (some color) txt rdacontent c rdamedia cr rdacarrier World Scientific lecture notes in complex systems v. 11 Print version record Preface; CONTENTS; 1. From Simple to Complex Oscillatory Behavior in Cellular Regulatory Networks; 1. Introduction; 2. From Simple to Complex Oscillatory Dynamics in a Prototype Biochemical Model; 3. Simple Periodic Behavior in the Cdk Regulatory Network Driving the Mammalian Cell Cycle; 4. Complex Oscillatory Behavior in the Cdk Network; 5. Comparison with Other Oscillatory Cellular Networks; Acknowledgments; References; 2. Time Dependent Michaelis-Menten Equations for Open Enzyme Networks; 1. Introduction; 2. The Michaelis-Menten Equation 3. Perturbation Analysis of the Michaelis-Menten Equations4. Basic Open-Enzyme Network; 4.1. Perturbation analysis; 4.2. Time-dependent Michaelis-Menten equations for a larger network; 4.3. Accuracy of the perturbation scheme; 4.4. Simulation results and discussion; 5. Conclusion; Acknowledgments; References; 3. Environmental Dependence of the Activity and Essentiality of Reactions in the Metabolism of Escherichia Coli; 1. Introduction; 1.1. Structure: Metabolism as a complex network; 1.2. Function: Flux Balance Analysis; 1.3. Previous work on activity and essentiality of reactions in silico 2. Methods2.1. Genome-scale representation of metabolism; 2.2. Media composition; 2.3. FBA implementation; 2.4. Quantitative definition of activity and essentiality; 3. Results and Discussion; 3.1. Essential whenever active reactions; 3.2. Always active reactions; 3.3. Never essential reactions; 3.4. Partially essential reactions; 4. Conclusions; Acknowledgments; References; 4. Chemically-Driven Biological Brownian Machine; 1. Introduction; 2. Dynamics of Single Myosin Motor Proteins; 3. Mechano-Chemical Coupling of Myosin-V and -VI; 4. Strain-Sensor Mechanism 4.1. Quantification of mechano-sensitivity for the weak-to-strong transition4.2. Strain sensor as a rectifier of Brownian motion; 4.3. Inhibition of ATP synthesis; 5. Energetics of Myosin Motor; 5.1. Single molecule force measurement using DNA handle; 5.2. Fluctuation between lever-arm swing and the reversal under load; 5.3. Lever-arm swing versus Brownian search-and-catch; 6. Physiological Advantages of the Brownian Machine; Acknowledgments; References; 5. Diffusiophoretic Nano and Microscale Propulsion and Communication; 1. Introduction; 1.1. Reynold's number and Brownian motion 2. Mechanisms of Motility2.1. Electrolyte diffusiophoresis; 3. Diffusiophoresis-Based Systems; 3.1. Externally triggered diffusiophoretic systems; 3.1.1. "On/off" micro-pump and photo-colloidal diode; 3.1.2. Triggered crack-detection, targeting and repair using ion gradients; 3.2. Self-triggered diffusiophoretic system: Collective behaviors of micromotors in response to orthogonal stimuli; 3.2.1. Reversible transition between "exclusion" and "schooling"; 3.2.2. "Exclusion" in response to UV light; 3.2.3. Design of logic gate based on orthogonal stimuli; 4. Conclusion; References This second review volume is a follow-up to the book "Engineering of Chemical Complexity" that appeared in 2013. Co-edited by the Nobel laureate Gerhard Ertl, this book provides a broad perspective over the current research aimed at understanding, the design and control of complex chemical systems of various origins, on the scales ranging from single molecules and nano-phenomena to macroscopic chemical reactors. Self-organization behavior and emergence of coherent collective dynamics in reaction-diffusion systems, in active soft matter and biochemical networks are discussed. Special attention SCIENCE / Chemistry / Industrial & Technical bisacsh TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh Chemical engineering fast Chemie Chemical engineering Koordinationslehre (DE-588)4133952-6 gnd rswk-swf Reaktionskinetik (DE-588)4048655-2 gnd rswk-swf Reaktionskinetik (DE-588)4048655-2 s 1\p DE-604 Koordinationslehre (DE-588)4133952-6 s 2\p DE-604 Mikhailov, A. S. 1950- edt Ertl, G. edt Erscheint auch als Druck-Ausgabe Engineering of chemical complexity 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Engineering of chemical complexity Preface; CONTENTS; 1. From Simple to Complex Oscillatory Behavior in Cellular Regulatory Networks; 1. Introduction; 2. From Simple to Complex Oscillatory Dynamics in a Prototype Biochemical Model; 3. Simple Periodic Behavior in the Cdk Regulatory Network Driving the Mammalian Cell Cycle; 4. Complex Oscillatory Behavior in the Cdk Network; 5. Comparison with Other Oscillatory Cellular Networks; Acknowledgments; References; 2. Time Dependent Michaelis-Menten Equations for Open Enzyme Networks; 1. Introduction; 2. The Michaelis-Menten Equation 3. Perturbation Analysis of the Michaelis-Menten Equations4. Basic Open-Enzyme Network; 4.1. Perturbation analysis; 4.2. Time-dependent Michaelis-Menten equations for a larger network; 4.3. Accuracy of the perturbation scheme; 4.4. Simulation results and discussion; 5. Conclusion; Acknowledgments; References; 3. Environmental Dependence of the Activity and Essentiality of Reactions in the Metabolism of Escherichia Coli; 1. Introduction; 1.1. Structure: Metabolism as a complex network; 1.2. Function: Flux Balance Analysis; 1.3. Previous work on activity and essentiality of reactions in silico 2. Methods2.1. Genome-scale representation of metabolism; 2.2. Media composition; 2.3. FBA implementation; 2.4. Quantitative definition of activity and essentiality; 3. Results and Discussion; 3.1. Essential whenever active reactions; 3.2. Always active reactions; 3.3. Never essential reactions; 3.4. Partially essential reactions; 4. Conclusions; Acknowledgments; References; 4. Chemically-Driven Biological Brownian Machine; 1. Introduction; 2. Dynamics of Single Myosin Motor Proteins; 3. Mechano-Chemical Coupling of Myosin-V and -VI; 4. Strain-Sensor Mechanism 4.1. Quantification of mechano-sensitivity for the weak-to-strong transition4.2. Strain sensor as a rectifier of Brownian motion; 4.3. Inhibition of ATP synthesis; 5. Energetics of Myosin Motor; 5.1. Single molecule force measurement using DNA handle; 5.2. Fluctuation between lever-arm swing and the reversal under load; 5.3. Lever-arm swing versus Brownian search-and-catch; 6. Physiological Advantages of the Brownian Machine; Acknowledgments; References; 5. Diffusiophoretic Nano and Microscale Propulsion and Communication; 1. Introduction; 1.1. Reynold's number and Brownian motion 2. Mechanisms of Motility2.1. Electrolyte diffusiophoresis; 3. Diffusiophoresis-Based Systems; 3.1. Externally triggered diffusiophoretic systems; 3.1.1. "On/off" micro-pump and photo-colloidal diode; 3.1.2. Triggered crack-detection, targeting and repair using ion gradients; 3.2. Self-triggered diffusiophoretic system: Collective behaviors of micromotors in response to orthogonal stimuli; 3.2.1. Reversible transition between "exclusion" and "schooling"; 3.2.2. "Exclusion" in response to UV light; 3.2.3. Design of logic gate based on orthogonal stimuli; 4. Conclusion; References This second review volume is a follow-up to the book "Engineering of Chemical Complexity" that appeared in 2013. Co-edited by the Nobel laureate Gerhard Ertl, this book provides a broad perspective over the current research aimed at understanding, the design and control of complex chemical systems of various origins, on the scales ranging from single molecules and nano-phenomena to macroscopic chemical reactors. Self-organization behavior and emergence of coherent collective dynamics in reaction-diffusion systems, in active soft matter and biochemical networks are discussed. Special attention SCIENCE / Chemistry / Industrial & Technical bisacsh TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh Chemical engineering fast Chemie Chemical engineering Koordinationslehre (DE-588)4133952-6 gnd Reaktionskinetik (DE-588)4048655-2 gnd |
| subject_GND | (DE-588)4133952-6 (DE-588)4048655-2 |
| title | Engineering of chemical complexity |
| title_auth | Engineering of chemical complexity |
| title_exact_search | Engineering of chemical complexity |
| title_full | Engineering of chemical complexity editors, Alexander S Mikhailov, Gerhard Ertl |
| title_fullStr | Engineering of chemical complexity editors, Alexander S Mikhailov, Gerhard Ertl |
| title_full_unstemmed | Engineering of chemical complexity editors, Alexander S Mikhailov, Gerhard Ertl |
| title_short | Engineering of chemical complexity |
| title_sort | engineering of chemical complexity |
| topic | SCIENCE / Chemistry / Industrial & Technical bisacsh TECHNOLOGY & ENGINEERING / Chemical & Biochemical bisacsh Chemical engineering fast Chemie Chemical engineering Koordinationslehre (DE-588)4133952-6 gnd Reaktionskinetik (DE-588)4048655-2 gnd |
| topic_facet | SCIENCE / Chemistry / Industrial & Technical TECHNOLOGY & ENGINEERING / Chemical & Biochemical Chemical engineering Chemie Koordinationslehre Reaktionskinetik |
| work_keys_str_mv | AT mikhailovas engineeringofchemicalcomplexity AT ertlg engineeringofchemicalcomplexity |