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While 'multi-scale' refers to employing an epidermal growth factor receptor (EGFR -driven molEGFR -drivenrk to process cellular phenotypic decisions within the molecularroscopic enetworkento 'multi-resolution' is achieved through algorithms that classify cells to either active or inactive sprocesscellular, which determine the resolution they are simulated at.
In contrast, we demonstrate the ability of a molecular network to serve as a biomarker.
To this end, we merged the aforementioned regulatory information and created a molecular network to reflect the interaction between miR-19a and diverse epigenetics.
The focus is put specifically on the essential structure of the molecular network to characterize the role of the positive and negative feedback loops regulated by miR-206.
Once the model is sufficiently accurate and detailed, it will allow researchers to accomplish two tasks never before possible: (1) predict the behaviour of the system given any perturbation and (2) redesign or perturb the molecular network to create new emergent properties.
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The study of model structure and its kinetics allows us to understand the contributions of complexities in molecular networks to the behaviours and intrinsic properties of the model.
Future work should expand the search for other biomarkers and molecular networks to better understand the variable response to anti-TNFα therapy.
Unique positioning of survivin in cancer cells has enabled it to link together multiple functional molecular networks to promote aggressive behaviour (Kanwar et al, 2011).
Next, the researchers used systems-level computer analyses to overlay the identified genes onto known molecular networks to see which biological pathways were represented.
It is clear that genes and proteins are organized in higher-order structures within complex molecular networks to execute biological functions [ 18].
Nevertheless, given the complexity of these pathways, additional studies on the lens fiber differentiation are needed to understand hierarchy and contribution of these molecular networks to the lens fiber cell differentiation (Smith et al. 2010).
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