Computational Systems Biology: From Molecular Mechanisms to DiseaseAndres Kriete, Roland Eils Academic Press, 26.11.2013 - 548 Seiten This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling.
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Seite v
... flux patterns 22 2 Principles based on topology of the genome-wide metabolic network: toward personalized medicine 25 3 Industrially relevant applications of topology and objective-based modeling 26 4 Applications of topology and ...
... flux patterns 22 2 Principles based on topology of the genome-wide metabolic network: toward personalized medicine 25 3 Industrially relevant applications of topology and objective-based modeling 26 4 Applications of topology and ...
Seite 4
... flux balance in metabolic networks to measures of robustness. In Chapter 4, Ursula Klingmüller, Marcel Schilling, Sonja Depner, and Lorenza A. D'Alessandro review the “Biological foundations of signal transduction and aberrations in ...
... flux balance in metabolic networks to measures of robustness. In Chapter 4, Ursula Klingmüller, Marcel Schilling, Sonja Depner, and Lorenza A. D'Alessandro review the “Biological foundations of signal transduction and aberrations in ...
Seite 21
... flux patterns 22 3 Industrially relevant applications of topology and objective-based modeling 26 4 Applications of topology and objective2 Principles based on topology of the based modeling to cancer research 21 © 2014 Elsevier Inc ...
... flux patterns 22 3 Industrially relevant applications of topology and objective-based modeling 26 4 Applications of topology and objective2 Principles based on topology of the based modeling to cancer research 21 © 2014 Elsevier Inc ...
Seite 22
... BASED ON TOPOLOGY OF THE GENOME-WIDE METABOLIC NETWORK: LIMITED NUMBERS OF POSSIBLE FLUX PATTERNS FIGURE 3.4 Illustration of ATP energy metabolism in a two-step. 22 3. UNDERSTANDING PRINCIPLES OF THE DYNAMIC BIOCHEMICAL NETWORKS.
... BASED ON TOPOLOGY OF THE GENOME-WIDE METABOLIC NETWORK: LIMITED NUMBERS OF POSSIBLE FLUX PATTERNS FIGURE 3.4 Illustration of ATP energy metabolism in a two-step. 22 3. UNDERSTANDING PRINCIPLES OF THE DYNAMIC BIOCHEMICAL NETWORKS.
Seite 25
... flux analysis, which often employs isotopically labeled growth. Here one may deduce from the growth rate and biomass composition a great many anabolic fluxes and use these to confine the possible fluxes (Sauer 2006). All these ...
... flux analysis, which often employs isotopically labeled growth. Here one may deduce from the growth rate and biomass composition a great many anabolic fluxes and use these to confine the possible fluxes (Sauer 2006). All these ...
Inhalt
1 | |
9 | |
21 | |
45 | |
65 | |
89 | |
7 Reconstruction of Metabolic Network from Genome Information and its Structural and Functional Analysis | 113 |
8 Standards Platforms and Applications | 133 |
From Network Structure to Attractor Landscapes Landscape | 241 |
From Single Cells to Colonies | 277 |
14 Advances in Machine Learning for Processing and Comparison of Metagenomic Data | 295 |
15 Systems Biology of Infectious Diseases and Vaccines | 331 |
16 Computational Modeling and Simulation of Animal Early Embryogenesis with the MecaGen Platform | 359 |
17 Developing a Systems Biology of Aging | 407 |
18 Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme | 423 |
Mathematical Models of Apoptosis | 455 |
9 Databases Standards and Modeling Platforms for Systems Biology | 169 |
Deterministic versus Stochastic Approaches | 183 |
11 TopDown Dynamical Modeling of Molecular Regulatory Networks | 223 |
Author Index | 483 |
Subject Index | 525 |
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Computational Systems Biology: From Molecular Mechanisms to Disease Andres Kriete,Roland Eils Keine Leseprobe verfügbar - 2013 |
Häufige Begriffe und Wortgruppen
activation algorithm analysis annotation apoptosis approach attractor Bayesian networks behavior binding biochemical Bioinformatics Biol Boolean network cancer caspase caspase-8 cell types CellML cellular circadian clock circadian oscillations circadian rhythms coefficient complex concentration corresponding cycle database described deterministic differentiation discrete domain Drosophila dynamics embryo enzyme equations experimental feedback Figure flux gene expression gene networks gene regulatory networks genetic genome Goldbeter graph identify immune integration interactions intracellular k-mers KEGG kinase kinetic Leloup ligand mammalian mathematical models mechanisms membrane metabolic network metabolites metagenomic methods microarray model for circadian modules molecular molecules mRNA network model nodes optimal organisms parameter perturbation phosphorylation predict protein proteomics quantitative reactions receptor regulation represent response robustness samples SBML sequences signal transduction signaling networks signaling pathways simulation specific stochastic structure tion tissue transcription transition vaccine variables XIAP