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 17
... reactions, pathways and biological processes. Nucleic Acids Res. 39:D691–D697. Cuff, A., Redfern, O. C., Greene, L., Sillitoe, I., Lewis, T., Dibley, M., Reid, A., Pearl, F., Dallman, T., Todd, A., et al. (2009). The CATH hierarchy ...
... reactions, pathways and biological processes. Nucleic Acids Res. 39:D691–D697. Cuff, A., Redfern, O. C., Greene, L., Sillitoe, I., Lewis, T., Dibley, M., Reid, A., Pearl, F., Dallman, T., Todd, A., et al. (2009). The CATH hierarchy ...
Seite 22
... reaction activity is represented by a reaction rate v, then the list of activities may be written as a long column (or ... reactions in the organism (i.e. one rate for every gene product at the level of enzyme or transporter) per unit ...
... reaction activity is represented by a reaction rate v, then the list of activities may be written as a long column (or ... reactions in the organism (i.e. one rate for every gene product at the level of enzyme or transporter) per unit ...
Seite 23
... reactions, and X of a list 5063 metabolites, 642 of which are extracellular. N is a 5063 by 7440 matrix of numbers ... reactions encoded by the genome integrate their actions. Because it is genome wide, i.e. contains (in principle) all ...
... reactions, and X of a list 5063 metabolites, 642 of which are extracellular. N is a 5063 by 7440 matrix of numbers ... reactions encoded by the genome integrate their actions. Because it is genome wide, i.e. contains (in principle) all ...
Seite 24
... reaction network be created at random, then it would often not relax to a steady state. Here we use a principle of Biology, i.e. that the living organisms we study are viable and hence not subject to metabolic explosions (Teusink et al ...
... reaction network be created at random, then it would often not relax to a steady state. Here we use a principle of Biology, i.e. that the living organisms we study are viable and hence not subject to metabolic explosions (Teusink et al ...
Seite 25
... reaction runs in the direction that is uphill in terms of thermodynamics (Westerhoff & Van Dam 1987). In principle ... reactions in v that correspond to substances that are not present in the nutrition 2 PRINCIPLES BASED ON TOPOLOGY OF ...
... reaction runs in the direction that is uphill in terms of thermodynamics (Westerhoff & Van Dam 1987). In principle ... reactions in v that correspond to substances that are not present in the nutrition 2 PRINCIPLES BASED ON TOPOLOGY OF ...
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