Engineering of chemical complexity /:
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...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New Jersey :
World Scientific,
[2013]
|
| Series: | World Scientific lecture notes in complex systems ;
v. 11. |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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 |
| Physical Description: | 1 online resource (ix, 402 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9789814616133 9814616133 9789814390460 9814390461 |
Staff View
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| 505 | 0 | |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. | |
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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. |
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| id | ZDB-4-EBA-ocn894894810 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:42:19Z |
| institution | BVB |
| isbn | 9789814616133 9814616133 9789814390460 9814390461 |
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| series | World Scientific lecture notes in complex systems ; |
| 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) text txt rdacontent computer c rdamedia online resource cr rdacarrier World scientific lecture notes in complex systems ; vol. 11 Includes bibliographical references and index. 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 Chemical engineering. http://id.loc.gov/authorities/subjects/sh85022900 Chemical Engineering https://id.nlm.nih.gov/mesh/D002616 Génie chimique. chemical engineering. aat SCIENCE Chemistry Industrial & Technical. bisacsh TECHNOLOGY & ENGINEERING Chemical & Biochemical. bisacsh Chemical engineering fast Mikhailov, A. S. (Alexander S.), 1950- editor. https://id.oclc.org/worldcat/entity/E39PCjvWkMgVgxQbyryfVFYcCP http://id.loc.gov/authorities/names/n90663276 Ertl, G. (Gerhard), editor. https://id.oclc.org/worldcat/entity/E39PBJmHDkh3tDGcThTXW7fg8C http://id.loc.gov/authorities/names/n85333590 Print version: Engineering of chemical complexity 9789814390453 (DLC) 2013427177 (OCoLC)773021636 World Scientific lecture notes in complex systems ; v. 11. http://id.loc.gov/authorities/names/no2004014112 |
| spellingShingle | Engineering of chemical complexity / World Scientific lecture notes in complex systems ; 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. Chemical engineering. http://id.loc.gov/authorities/subjects/sh85022900 Chemical Engineering https://id.nlm.nih.gov/mesh/D002616 Génie chimique. chemical engineering. aat SCIENCE Chemistry Industrial & Technical. bisacsh TECHNOLOGY & ENGINEERING Chemical & Biochemical. bisacsh Chemical engineering fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85022900 https://id.nlm.nih.gov/mesh/D002616 |
| 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 | Chemical engineering. http://id.loc.gov/authorities/subjects/sh85022900 Chemical Engineering https://id.nlm.nih.gov/mesh/D002616 Génie chimique. chemical engineering. aat SCIENCE Chemistry Industrial & Technical. bisacsh TECHNOLOGY & ENGINEERING Chemical & Biochemical. bisacsh Chemical engineering fast |
| topic_facet | Chemical engineering. Chemical Engineering Génie chimique. chemical engineering. SCIENCE Chemistry Industrial & Technical. TECHNOLOGY & ENGINEERING Chemical & Biochemical. Chemical engineering |
| work_keys_str_mv | AT mikhailovas engineeringofchemicalcomplexity AT ertlg engineeringofchemicalcomplexity |