Systems Biology: Volume II: Networks, Models, and ApplicationsIsidore Rigoutsos, Gregory Stephanopoulos Oxford University Press, USA, 14.09.2006 - 366 Seiten The advent of genome sequencing and associated technologies has transformed biologists' ability to measure important classes of molecules and their interactions. This expanded cellular view has opened the field to thousands of interactions that previously were outside the researchers' reach. The processing and interpretation of these new vast quantities of interconnected data call for sophisticated mathematical models and computational methods. Systems biology meets this need by combining genomic knowledge with theoretical, experimental and computational approaches from a number of traditional scientific disciplines to create a mechanistic explanation of cellular systems and processes.Systems Biology I: Genomics and Systems Biology II: Networks, Models, and Applications offer a much-needed study of genomic principles and their associated networks and models. Written for a wide audience, each volume presents a timely compendium of essential information that is necessary for a comprehensive study of the subject. The chapters in the two volumes reflect the hierarchical nature of systems biology. Chapter authors-world-recognized experts in their fields-provide authoritative discussions on a wide range of topics along this hierarchy. Volume I explores issues pertaining to genomics that range from prebiotic chemistry to noncoding RNAs. Volume II covers an equally wide spectrum, from mass spectrometry to embryonic stem cells. The two volumes are meant to provide a reliable reference for students and researchers alike. |
Inhalt
1 Mass Spectrometry in Systems Biology | 3 |
2 Mathematical Modeling and Optimization Methods for De Novo Protein Design | 42 |
3 Molecular Simulation and Systems Biology | 67 |
Quantitative Noise Analysis | 103 |
Building Bridges Over the Unknown | 137 |
The Complement Paradigm Shift | 169 |
Combined in Silico and Omics Analyses for the Improvement of Microorganisms for Industrial Applications | 193 |
8 GenomeScale Models of Metabolic and Regulatory Networks | 232 |
9 Biophysical Models of the Cardiovascular System | 265 |
10 Embryonic Stem Cells as a Module for Systems Biology | 297 |
319 | |
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Systems Biology: Volume II: Networks, Models, and Applications Isidore Rigoutsos,Gregory Stephanopoulos Eingeschränkte Leseprobe - 2006 |
Systems Biology: Volume II: Networks, Models, and Applications: Volume II ... Isidore Rigoutsos,Gregory Stephanopoulos Keine Leseprobe verfügbar - 2006 |
Häufige Begriffe und Wortgruppen
Academy of Sciences activity Affymetrix algorithms amino acid analysis analyze approach beta hairpin binding biomolecular Biophysical cardiac cell cellular signaling network characterize Chemical Chemistry complement complex components compstatin computational concentration constraints data sets databases dynamics Escherichia coli experimental experiments expression level fiber figure flux force field free energy function gene expression genetic genome genome-scale metabolic global high-throughput identified integrated interactions J. D. Lambris Journal kinetic lipidomics lipids mass spectrometry measurements membrane metabolic engineering metabolic network metabolites metabolome methods microarray microRNAs molecules MPSS runs mRNA MS/MS mutations myocyte National Academy network reconstruction noise nonzero optimization pathways peptide phenotypes phosphorylation potential prediction processes profiling protein design protein folding protein–protein proteomics quantitative reactions receptor regulatory networks replicate Research residues rotamer sample Sciences USA sequence signature silico specific strains structure studies succinic acid systems biology target techniques technologies tion tissue transcription factor transcriptome ventricular yeast zero