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.
|
Im Buch
Ergebnisse 1-5 von 90
Seite vii
... predictions 414 6 Robustness in the context of theories and models of aging 417 7 Discussion and outlook 419 References 419 18. Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme HANG CONTENTS vii.
... predictions 414 6 Robustness in the context of theories and models of aging 417 7 Discussion and outlook 419 References 419 18. Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme HANG CONTENTS vii.
Seite xiii
... predictions, whereby a formal reasoning becomes key. This requires a collaborative input of experimental and theoretical biologists working together with system analysts, computer scientists, mathematicians, bioengineers, physicists, as ...
... predictions, whereby a formal reasoning becomes key. This requires a collaborative input of experimental and theoretical biologists working together with system analysts, computer scientists, mathematicians, bioengineers, physicists, as ...
Seite 2
... predictions agree with the experimental observations of the system behavior. The constitutive model parameters may be measured directly or may be inferred during this validation process, however, the propagation of errors through these ...
... predictions agree with the experimental observations of the system behavior. The constitutive model parameters may be measured directly or may be inferred during this validation process, however, the propagation of errors through these ...
Seite 7
... predict cellular behavior in time and space and to determine physiology from the underlying molecular and cellular capacities on a multiscale (Dada and Mendes 2011). Once established, such models are indicators to the detailed ...
... predict cellular behavior in time and space and to determine physiology from the underlying molecular and cellular capacities on a multiscale (Dada and Mendes 2011). Once established, such models are indicators to the detailed ...
Seite 10
... predict protein 3D structures from primary sequences. Methods to predict protein secondary structure or 3D structure were approached by a variety of informatics-or physics-based methods, and had mixed success until the arrival of ...
... predict protein 3D structures from primary sequences. Methods to predict protein secondary structure or 3D structure were approached by a variety of informatics-or physics-based methods, and had mixed success until the arrival 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 |
Andere Ausgaben - Alle anzeigen
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