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 53
... mRNA of the specific target gene. By repressing translation or direct degradation of the target mRNA, miRNAs can ultimately regulate gene expression in a sequence specific manner. In mammalian cells microRNAs are expressed in a ...
... mRNA of the specific target gene. By repressing translation or direct degradation of the target mRNA, miRNAs can ultimately regulate gene expression in a sequence specific manner. In mammalian cells microRNAs are expressed in a ...
Seite 55
... mRNA level of those negative feedback genes. (c) Cell fate decisions initiated by signaling pathways. Cytokine receptors as well as receptor tyrosine kinases often induce the phosphoinosited-3-kinase (PI3K) and the mitogenactivated ...
... mRNA level of those negative feedback genes. (c) Cell fate decisions initiated by signaling pathways. Cytokine receptors as well as receptor tyrosine kinases often induce the phosphoinosited-3-kinase (PI3K) and the mitogenactivated ...
Seite 69
... mRNA stability and protein stability for each component, in general the correlation between mRNA and protein is not perfect (Maier et al. 2009). While nevertheless mRNA levels could be a valid approximation when looking at changes in ...
... mRNA stability and protein stability for each component, in general the correlation between mRNA and protein is not perfect (Maier et al. 2009). While nevertheless mRNA levels could be a valid approximation when looking at changes in ...
Seite 86
... mRNA decay in humans. Proc. Natl. Acad. Sci. USA 100:189–192. Lin, C. Y., Lin, Y. W., Yu, S. W., Lo, Y. S., and Yang, J. M. (2012). MoNetFamily: a web server to infer homologous modules and module-module interaction networks in ...
... mRNA decay in humans. Proc. Natl. Acad. Sci. USA 100:189–192. Lin, C. Y., Lin, Y. W., Yu, S. W., Lo, Y. S., and Yang, J. M. (2012). MoNetFamily: a web server to infer homologous modules and module-module interaction networks in ...
Seite 103
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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