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The combination of topological properties with experimental data is useful to allow more meaningful predictions of sub-network function to be experimentally validated.
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However, the experimental data are useful in providing a baseline for the simulation results to be compared.
The experimental data are useful for determining constitutive model parameters as well as for validating models and simulation procedures for electromechanical coupling in EAP actuators.
These models, combined with experimental data, are useful analytical tools to estimate the state exhibited (the phenotype) by the cells at given pseudo-steady conditions.
This aggregated data is useful.
The model together with experimental data is a useful tool to identify condition-dependent changes of metabolism between different environmental conditions.
This is particularly useful when assessing whether the experimental data is consistent with the interactions in the model.
Regression analyses with experimental data are a useful way to understand these relationships.
Although plausible, direct experimental data is lacking.
Thus computational approaches for detecting protein complexes from protein interaction data are useful complements to the limited experimental methods.
Data are useful, but they can also be misused.
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