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 1
... identification amounts to identifying the regulatory relationships between genes, proteins, and small molecules, as well as their inherent dynamics hidden in the specific kinetic and binding parameters. System identification is arguably ...
... identification amounts to identifying the regulatory relationships between genes, proteins, and small molecules, as well as their inherent dynamics hidden in the specific kinetic and binding parameters. System identification is arguably ...
Seite 4
... identify the underlying biological mechanisms influential for signal transduction and introduce the mathematical tools essential to model signaling pathways and their disease aberrations in a quantitative fashion. Further acceleration ...
... identify the underlying biological mechanisms influential for signal transduction and introduce the mathematical tools essential to model signaling pathways and their disease aberrations in a quantitative fashion. Further acceleration ...
Seite 10
... identify hundreds or thousands of molecules regulated or changed in response to some stimulus or perturbation. More than ever there is a need to understand what such large sets of molecules mean when identified together in terms of ...
... identify hundreds or thousands of molecules regulated or changed in response to some stimulus or perturbation. More than ever there is a need to understand what such large sets of molecules mean when identified together in terms of ...
Seite 13
... identify new motif candidates (Davey et al. 2010; Neduva and Russell 2006) and most recently these approaches have been extended to methods to predict protein-peptide interactions using known 3D structures if available (Petsalaki et al ...
... identify new motif candidates (Davey et al. 2010; Neduva and Russell 2006) and most recently these approaches have been extended to methods to predict protein-peptide interactions using known 3D structures if available (Petsalaki et al ...
Seite 14
... identification of post-translational modifications (PTMs) (Choudhary and Mann 2010; Pflieger et al. 2008). Here too ... identify from hundreds or thousands of data-points those that are most likely to have biological consequences. Thus ...
... identification of post-translational modifications (PTMs) (Choudhary and Mann 2010; Pflieger et al. 2008). Here too ... identify from hundreds or thousands of data-points those that are most likely to have biological consequences. Thus ...
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