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 39
... variable,” which is not possible with proportional control mechanisms. In the latter case, the perturbation of the controlled variable has to persist for the regulation as the homeostatic regulation is proportional to the perturbation ...
... variable,” which is not possible with proportional control mechanisms. In the latter case, the perturbation of the controlled variable has to persist for the regulation as the homeostatic regulation is proportional to the perturbation ...
Seite 40
... variable; enzyme concentration E is a control output (the manipulation variable) of the gene-expression regulation control loop. When the degradation of enzyme is. FIGURE 3.4 Illustration of ATP energy metabolism in a two-step pathway ...
... variable; enzyme concentration E is a control output (the manipulation variable) of the gene-expression regulation control loop. When the degradation of enzyme is. FIGURE 3.4 Illustration of ATP energy metabolism in a two-step pathway ...
Seite 63
... (2012). Heterogeneous kinetics of AKT signaling in individual cells are accounted for by variable protein concentration. Front Physiol. 3:451. Morris, M. K., Saez-Rodriguez, J., Sorger, P. K., and Lauffenburger, REFERENCES. 63. References.
... (2012). Heterogeneous kinetics of AKT signaling in individual cells are accounted for by variable protein concentration. Front Physiol. 3:451. Morris, M. K., Saez-Rodriguez, J., Sorger, P. K., and Lauffenburger, REFERENCES. 63. References.
Seite 82
... variable parts and on the crosstalk between modules. Recently, an experimental networkperturbation approach was used to investigate crosstalk between signaling modules during the neutrophil polarization process (Ku et al. 2012). This ...
... variable parts and on the crosstalk between modules. Recently, an experimental networkperturbation approach was used to investigate crosstalk between signaling modules during the neutrophil polarization process (Ku et al. 2012). This ...
Seite 89
... variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling ...
... variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling ...
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