Systems BiologyRobert A. Meyers John Wiley & Sons, 02.07.2012 - 726 Seiten Systems biology is a relatively new biological study field that focuses on the systematic study of complex interactions in biological systems, thus using a new perspective (integration instead of reduction) to study them. Particularly from year 2000 onwards, the term is used widely in the biosciences, and in a variety of contexts. Systems biology is the study of the interconnected aspect of molecular, cellular, tissue, whole animal and ecological processes, and comprises mathematical and mechanistic studies of dynamical, mesoscopic, open, spatiotemporally defined, nonlinear, complex systems that are far from thermodynamic equilibrium. |
Inhalt
What Is Systems Understanding? | 6 |
Modules and Protocols | 12 |
3 | 18 |
References | 25 |
Developmental Cell Biology | 34 |
Frank John | 36 |
The Cell Cycle and Development | 44 |
Principles and Applications of Embryogenomics | 53 |
CDNA | 310 |
Perspectives | 326 |
Dynamics of Biomolecular Networks | 349 |
Computer Simulation of the Cell | 379 |
Keywords | 380 |
Fractals in Biology and Medicine | 397 |
Models of Cell Migration | 423 |
Protein Modeling | 469 |
Vincent VanBuren | 54 |
References | 77 |
Interactome | 85 |
Protein Abundance | 118 |
4 | 124 |
5 | 130 |
Protein Abundance Variation 117 | 132 |
Systems Biology of Evolution | 143 |
Systematics and Evolution | 169 |
Evolution of the Protein Repertoire | 207 |
Modeling of Biological Systems | 237 |
Computational Biology | 277 |
Sequence alignment | 478 |
System Models for Inference on Mechanisms of Neuronal Dynamics | 505 |
Systems Biology of the Liver | 539 |
Systems Biology in Medicine and Disease | 563 |
DNA Microarray | 577 |
Personalized Medicine Predictive and Preventive | 593 |
Systems Biology of Organisms | 625 |
Implications and Uses | 653 |
Plant Systems Biology | 685 |
| 699 | |
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activity algorithms alignment amino acid analysis approach assembly attractor bacterial behavior binding biochemical Bioinformatics Biol Boolean cDNA cell biology cell cycle cellular chemokine clones complex computational correlation database developmental differential disease DNA microarrays domain Drosophila drug dynamics E-Cell embryos enzymes eukaryotic evolution evolutionary example experimental fractal function gene expression gene regulatory networks genetic genome sequence glucose high-throughput human identified integrins interaction networks large-scale liver mechanisms membrane metabolic metagenomic methods microarray migration model organism modules molecular molecules mouse mRNA mutations Natl Acad nodes Nucleic Acids Res nucleotide parameters pathways patterns phenotype prediction Proc profiling protein interaction protein structure protein-protein Proteomics quence receptor regulation regulatory networks Science signal simulation specific stem cells studies substrate Synthetic Biology Systems Biology target techniques tein tion tissues transcription factors transcriptome types variables Wang Wiley-VCH Verlag yeast