Systems BiologyRobert A. Meyers John Wiley & Sons, 05.12.2012 - 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
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| 36 | |
The Cell Cycle and Development | 44 |
| 51 | |
Principles and Applications ofEmbryogenomics | 53 |
cDNA | 310 |
Protein Function Prediction | 315 |
Computational Biology of Diseases | 321 |
Dynamics of Biomolecular Networks | 349 |
Keywords | 350 |
Computer Simulation ofthe Cell | 379 |
Fractals in Biology and Medicine | 397 |
Models ofCell Migration | 423 |
Vincent VanBuren | 54 |
Interactome | 85 |
Keywords | 86 |
Introduction | 119 |
Extracellular Causes Influencing Protein Abundance in Prokaryotes | 125 |
Protein Abundance Variation 117 | 132 |
Systems Biology of Evolution | 143 |
Systematics and Evolution | 169 |
Evolution of the Protein Repertoire | 207 |
Modeling ofBiological Systems | 237 |
Computational Biology | 277 |
Computational Biology | 279 |
Protein Modeling | 469 |
Sequence alignment | 478 |
System Models for Inference on Mechanisms of Neuronal Dynamics | 505 |
Systems Biology ofthe Liver | 539 |
Systems Biology in Medicine and Disease | 563 |
DNA Microarray | 577 |
Personalized Medicine Predictive and Preventive | 593 |
Systems Biology ofOrganisms | 625 |
Implications and Uses | 653 |
Plant Systems Biology | 685 |
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Acids actin activity alignment allows analysis application approach assembly behavior binding Bioinformatics Biol biology cDNA cell cellular changes combination comparative complex components computational connectivity construction database defined described determine developmental differential disease domain drug dynamics effects enzymes evolution evolutionary example experimental experiments factors fractal function gene expression genetic genome glucose groups human identified important increase individual interactions involved known large-scale measured mechanisms methods microarray migration modules molecular molecules mouse mutations Nature networks organisms pathways patterns possible prediction present problem produce properties protein recent receptor referred regions regulation regulatory represent response RNAi samples scale Science selection sequence signal similar simulation specific structure studies Systems Biology techniques tion tissues transcription types understanding