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Should they succeed, in 20 years it may be possible to compute the behavior of a cell, perhaps of a living organism, and to calculate how changing one unit of DNA may affect human health or performance.
The spreading behavior of a cell significantly depends on its microenvironment, but the biochemomechanical mechanisms of geometry-confined cell spreading remain unclear.
In some cases, the transient behavior of a cell population can be described by a cybernetic approach, which presumes that cells will behave optimally toward some objectives (e.g., maximal growth rate); such models require minimal intracellular detail.
For example, what will be the effect of knocking out a gene in the behavior of a cell?
Adequate modeling is a key to understand the mechanical behavior of a cell under substrate deformation and to correlate quantitatively the cellular and intracellular responses with mechanical factors.
There exists one RCP that represents the faultless or normal behavior of a cell in the considered network, referred to as ξ normal.
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Systems biologists are attempting to make computerized models that accurately mimic behaviors of a cell and, more importantly, to predict behaviors that may not be apparent.
A major challenge in systems biology is to understand and model, quantitatively, the dynamic topological and functional properties of cellular networks, such as the rewiring of transcriptional regulatory circuitry and signal transduction pathways that control behaviors of a cell.
When comparing the behavior of a single cell over 600 time steps to that of 64 cells the internal and external levels are slightly changed.
The final strategy involves identifying some behavior of a cancer cell that renders it uniquely sensitive to a particular chemical.
This is a powerful tool and can be very helpful in considering the total behavior of a test cell.
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