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
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Seite xiii
... sequencing and high-throughput omics techniques. Under the guiding vision of systems biology, sophisticated computational methods help to study the interconnection of parts in order to unravel complex and networked biological phenomena ...
... sequencing and high-throughput omics techniques. Under the guiding vision of systems biology, sophisticated computational methods help to study the interconnection of parts in order to unravel complex and networked biological phenomena ...
Seite 2
... sequencing, along with the emergence of new specialized -omics (metabolomics, lipidomics, pharmacogenomics) and phenotyping techniques, constantly feed into this data pool and accelerate its growth. Given the enormous and heterogeneous ...
... sequencing, along with the emergence of new specialized -omics (metabolomics, lipidomics, pharmacogenomics) and phenotyping techniques, constantly feed into this data pool and accelerate its growth. Given the enormous and heterogeneous ...
Seite 3
... sequencing techniques in genetics a turning point was reached at the molecular basis of life. The frontiers of research extended to hypothesisfree data acquisition of biological entities, with genomics becoming the first in a growing ...
... sequencing techniques in genetics a turning point was reached at the molecular basis of life. The frontiers of research extended to hypothesisfree data acquisition of biological entities, with genomics becoming the first in a growing ...
Seite 10
... sequences databases were small, the primary focus was the grand challenge to predict protein 3D structures from primary sequences. Methods to predict protein secondary structure or 3D structure were approached by a variety of ...
... sequences databases were small, the primary focus was the grand challenge to predict protein 3D structures from primary sequences. Methods to predict protein secondary structure or 3D structure were approached by a variety of ...
Seite 11
... sequences fit onto interacting proteins with 3D structures. Systematic analysis of thousands of interactions of known 3D structure showed that sequence similar proteins retain similar interactions, and a drop in sequence similarity ...
... sequences fit onto interacting proteins with 3D structures. Systematic analysis of thousands of interactions of known 3D structure showed that sequence similar proteins retain similar interactions, and a drop in sequence similarity ...
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