Systems BiologyIsidore Rigoutsos, Gregory Stephanopoulos Oxford University Press, 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 | |
Häufige Begriffe und Wortgruppen
acid activity addition allow analysis applied approach binding Biology Biotechnology Ca2+ cardiac cell cellular changes characterize Chemical coli combination complement complex components computational concentration databases described determine distribution dynamics effects energy engineering et al example experimental experiments expression factors field figure flux folding force function gene gene expression genetic genome given global growth human identified important improved increase indicate integrated interactions involved Journal mass spectrometry measurements mechanisms membrane metabolic network metabolites methods microarray molecular MPSS Nature noise observed optimization organisms pathways peptide phenotypes position possible potential prediction processes production profiling protein proteomics quantitative quantum mechanical reactions recent reconstruction regulation regulatory replicate Research response sample Science selection sequence shown shows signaling signature silico simulation specific strains structure studies systems biology techniques technologies tion transcription types understanding values zero