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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Im Buch
Ergebnisse 1-5 von 31
Seite xiii
... immune systems, as well as aging and cancer. As in the previous edition, basics of information and data integration technologies, standards, modeling of gene, signaling and metabolic networks remain comprehensively covered ...
... immune systems, as well as aging and cancer. As in the previous edition, basics of information and data integration technologies, standards, modeling of gene, signaling and metabolic networks remain comprehensively covered ...
Seite 6
... immune system has to deal with a large amount of data generated from high-throughput techniques reflecting the inherent complexity of the immune system. Helder I. Nakaya, in Chapter 15, reports on “Applying systems biology to understand ...
... immune system has to deal with a large amount of data generated from high-throughput techniques reflecting the inherent complexity of the immune system. Helder I. Nakaya, in Chapter 15, reports on “Applying systems biology to understand ...
Seite 81
... immune cell (James and Vale 2012). It allowed the detailed biophysical characterization of the mechanism triggering T-cell activation. Once implemented, systems properties of the designed modules can be investigated. For example ...
... immune cell (James and Vale 2012). It allowed the detailed biophysical characterization of the mechanism triggering T-cell activation. Once implemented, systems properties of the designed modules can be investigated. For example ...
Seite 83
... immune and drug responses across a human hematopoietic continuum. Science 332:687–696. Birtwistle, M. R., Hatakeyama, M., Yumoto, N., Ogunnaike, B. A., Hoek, J. B., and Kholodenko, B. N. (2007). Liganddependent responses of the ErbB ...
... immune and drug responses across a human hematopoietic continuum. Science 332:687–696. Birtwistle, M. R., Hatakeyama, M., Yumoto, N., Ogunnaike, B. A., Hoek, J. B., and Kholodenko, B. N. (2007). Liganddependent responses of the ErbB ...
Seite 84
... immune-receptor signalling. Nat. Rev. Immunol. 4:445–456. Gordus, A., Krall, J. A., Beyer, E. M., Kaushansky, A., Wolf-Yadlin, A., Sevecka, M., Chang, B. H., Rush, J., and MacBeath, G. (2009). Linear combinations of docking affinities ...
... immune-receptor signalling. Nat. Rev. Immunol. 4:445–456. Gordus, A., Krall, J. A., Beyer, E. M., Kaushansky, A., Wolf-Yadlin, A., Sevecka, M., Chang, B. H., Rush, J., and MacBeath, G. (2009). Linear combinations of docking affinities ...
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