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Their interconnection demands a whole-cell modeling framework for a complete understanding of cellular systems.
A better understanding of cellular systems and different engineering methods will allow us to better exploit engineered cells in biomedicine.
The scarcity of quantitative data often hinders the understanding of cellular systems from a systems perspective.
All these pathway and biological network databases facilitate a large spectrum of analyses, improving our understanding of cellular systems.
The bottom-up explanatory models of subsystems and the combined understanding of cellular systems on the basis of their physical principles have been a core concept of molecular biology and systems biology for more than half a century.
This type of iterative model-based analysis is a hallmark of systems biology research that, in the future, is expected to be very helpful in enhancing the understanding of cellular systems in a better way.
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While acknowledging the limited scope of the applicability, we believe that the value of a more tailored approach to the gene circuit domain far exceeds such potential drawbacks because of the importance of transcriptional regulation in quantitative understandings of cellular systems.
Biomarker discovery will improve the predictability of specific diseases by integrating personal genomics information, knowledge of environmental components and understanding of the properties of cellular systems.
This difference (p-value: 0.021) indicates the value of miRNA expression profiles in better understanding the molecular mechanisms of cellular systems and their essential role in the prediction of therapeutic responses.
Understanding interactions between proteins is therefore of vital significance for the understanding of the method of function of cellular systems.
Mathematical models of cellular systems describing metabolism, signal transduction and gene expression are becoming more and more important for the understanding of the underlying molecular processes.
More suggestions(15)
understanding of cellular responses
understanding of complex systems
understanding of biomolecular systems
understanding of unsustainable systems
understanding of dynamic systems
understanding of cellular structures
understanding of such systems
understanding of hydrologic systems
understanding of cellular interactions
understanding of cellular phenomena
understanding of social systems
understanding of biological systems
understanding of chaotic systems
understanding of ecological systems
understanding of cellular webs
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