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 2
... approach, creating the simplest possible model. The modeling process generates an understanding of the underlying structures, and components are represented graphically with increasing level of formalization, until they can be converted ...
... approach, creating the simplest possible model. The modeling process generates an understanding of the underlying structures, and components are represented graphically with increasing level of formalization, until they can be converted ...
Seite 5
... approach to study patterns of dynamic behaviors in biological systems. “Computational models for circadian rhythms - deterministic versus stochastic approaches,” Jean-Christophe Leloup, Didier Gonze and Albert Goldbeter demonstrates how ...
... approach to study patterns of dynamic behaviors in biological systems. “Computational models for circadian rhythms - deterministic versus stochastic approaches,” Jean-Christophe Leloup, Didier Gonze and Albert Goldbeter demonstrates how ...
Seite 6
... approach the assessment of phenotypical changes, in cancer as well as in other diseases, will help to build bridges toward new spatiotemporal modeling approaches. Stefan M. Kallenberger, Stefan Legewie, and Roland Eils demonstrate ...
... approach the assessment of phenotypical changes, in cancer as well as in other diseases, will help to build bridges toward new spatiotemporal modeling approaches. Stefan M. Kallenberger, Stefan Legewie, and Roland Eils demonstrate ...
Seite 7
... approaches that can manage experimental variability, are less considered but may be as essential for robust growth of biological knowledge. Still, the enormous complexity of biological systems has given rise to additional cautionary ...
... approaches that can manage experimental variability, are less considered but may be as essential for robust growth of biological knowledge. Still, the enormous complexity of biological systems has given rise to additional cautionary ...
Seite 13
... approaches work best when pairs of globular (i.e. folded) proteins or domains interact with one another. It has long ... approach to virtual screening (Lavecchia and DiGiovanni 2013). 5. SYSTEMS. BIOLOGY. APPLICATIONS. Exciting applications ...
... approaches work best when pairs of globular (i.e. folded) proteins or domains interact with one another. It has long ... approach to virtual screening (Lavecchia and DiGiovanni 2013). 5. SYSTEMS. BIOLOGY. APPLICATIONS. Exciting applications ...
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