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The prediction tools are used for the identification and modeling of biologically important nucleic acid structures, whereas the design tools aim at constructing novel molecular architectures and devices for nanotechnology and synthetic biology.
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Procedures and algorithms for system identification and model reduction of rational systems are proposed.
An experimental database was considered as a reference for the identification of model parameter and for the model validation.
This condition is necessary for the model identification and for a proper reconstruction of the output signal.
The procedure adopted for the identification of the VCB model parameters is described.
This structure model provided additional support for the identification of the NLSs and NESs of p68.
In addition, estimated parameters of approximate metabolic models, such as elasticities of linlog models, provide useful hints for the identification of more detailed nonlinear kinetic models.
The use of these models allowed for the identification of the best and worst performing countries.
The parameter identification procedure used for the identification of the ElastoPlastic friction model parameters is explained in detail.
Therefore, studying suitable defined animal models may be useful for the identification of therapeutic targets and approaches [5].
Following re-parameterisation of the Niederer-model, we apply the same methodology for finding reduced model versions through the identification of redundant model components.
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