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 23
... described by matrix N, with molecule A converted to molecule B via equilibrium reactions. achieved while the extracellular concentrations are still increasing or decreasing, 1 PRINCIPLES BASED ON TOPOLOGY OF THE GENOME-WIDE METABOLIC ...
... described by matrix N, with molecule A converted to molecule B via equilibrium reactions. achieved while the extracellular concentrations are still increasing or decreasing, 1 PRINCIPLES BASED ON TOPOLOGY OF THE GENOME-WIDE METABOLIC ...
Seite 40
... described by simple kinetics: d[ADP] dt (3.24) = −ks·E·[ADP] + kd ·(C − [ADP]) (3.25) dEdt = ka·[ADP] − kb·E − k0 where the degradation of E is assumed to be a mixture of zero and first order processes. The closed-loop control ...
... described by simple kinetics: d[ADP] dt (3.24) = −ks·E·[ADP] + kd ·(C − [ADP]) (3.25) dEdt = ka·[ADP] − kb·E − k0 where the degradation of E is assumed to be a mixture of zero and first order processes. The closed-loop control ...
Seite 55
... described modes for communication in order to transmit signals from the cell surface to the nucleus (Figure 4.4b,c). A rather simple and fast signaling cascade is the JAK-STAT pathway (Figure 4.4b, left panel) that mediates signal ...
... described modes for communication in order to transmit signals from the cell surface to the nucleus (Figure 4.4b,c). A rather simple and fast signaling cascade is the JAK-STAT pathway (Figure 4.4b, left panel) that mediates signal ...
Seite 58
... described signaling pathways do not operate in isolation but form complex signaling networks that regulate biological functions in a context-specific manner. These complex cellular networks integrate different signals by cellular ...
... described signaling pathways do not operate in isolation but form complex signaling networks that regulate biological functions in a context-specific manner. These complex cellular networks integrate different signals by cellular ...
Seite 59
... such as complex formation mediated by protein-protein interaction, show a linear response relationship and can be described by the law of mass action. Several signaling pathways 3 MATHEMATICAL MODELING OF SIGNALING PATHwAYS 59.
... such as complex formation mediated by protein-protein interaction, show a linear response relationship and can be described by the law of mass action. Several signaling pathways 3 MATHEMATICAL MODELING OF SIGNALING PATHwAYS 59.
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