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 vii
... Dynamics of Large Ensemble of Networks 255 5 Development of multicellularity: relative stability of states and global ordering 258 6 BOOLEAN network model of neuron cell differentiation and reprogramming 265 7 BOOLEAN network model for ...
... Dynamics of Large Ensemble of Networks 255 5 Development of multicellularity: relative stability of states and global ordering 258 6 BOOLEAN network model of neuron cell differentiation and reprogramming 265 7 BOOLEAN network model for ...
Seite 3
... dynamics has prevented a substantial increase in the number of new drugs available for treatment, drug efficacy, or eradication of any specific diseases. In contrast, pharmaceutical companies are currently lacking criteria to select the ...
... dynamics has prevented a substantial increase in the number of new drugs available for treatment, drug efficacy, or eradication of any specific diseases. In contrast, pharmaceutical companies are currently lacking criteria to select the ...
Seite 6
... dynamics on multiple levels of biological organization. This contribution is an example demonstrating the value of systems biology in integrating the different phenomena involved to study complex biological process. In Chapter 17 ...
... dynamics on multiple levels of biological organization. This contribution is an example demonstrating the value of systems biology in integrating the different phenomena involved to study complex biological process. In Chapter 17 ...
Seite 36
... dynamic model of a part of the cell cycle of S. cerevisiae, where activation of various mitotic kinase/cyclin (Cdk1 ... dynamics over time was implemented, where each kinase complex activates the next one in a linear cascade (Barberis ...
... dynamic model of a part of the cell cycle of S. cerevisiae, where activation of various mitotic kinase/cyclin (Cdk1 ... dynamics over time was implemented, where each kinase complex activates the next one in a linear cascade (Barberis ...
Seite 38
... dynamics in signaling networks, such as oscillation or bi-stability, can be induced by positive feedback loops. Feed ... DYNAMIC BIOCHEMICAL NETWORKS 9 Perfect adaptation and integral control in metabolism.
... dynamics in signaling networks, such as oscillation or bi-stability, can be induced by positive feedback loops. Feed ... DYNAMIC BIOCHEMICAL NETWORKS 9 Perfect adaptation and integral control in metabolism.
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