Biomedical Engineering Reference
In-Depth Information
3. There are not hidden, un-modeled transportations and transformations, affecting
the modeled components.
4. The applied elementary models are feasible.
5. The estimated (kinetic, equilibrium, etc.) parameters are feasible.
6. The estimated initial concentrations and boundary values (e.g. injection size) are
feasible.
The usefulness of this model can be summarized, as follows:
(i) The computational model helps to gain deeper insight into the various endo-
cytosis mechanisms and supports the major contribution of the specific
pathways.
(ii) The case studies help to analyze the inherent non-linearities and limitations of
the drug uptake (i.e. the relation between the injection size and the delivered
drug).
(iii) Based on the hypothetical simulation, the functioning of exocytosis can be
analyzed clearly.
Considering the assumptions, we can state that the installed model seems to be
closed enough that helps to fulfill the conditions, covered by (1)-(3), relatively
well. We summarize that assumptions (4)-(6) can be fulfilled by the feasible
estimations of the field and model experts. Probably the constructive applications
(i)-(iii) compensate for the uncertainties of (1)-(6).
It is to be emphasized that there are no inputs, except of the drug and ligand
containing nanovehicle, so the model may be considered as a closed system.
5.2
Qualitative Identification and Validation by Dialog Between
the Field Expert and the Computational Model
The development of this computational model is a good example for the qualitative
identification and validation, organized by the dialogue between field expert and
computational model. We started from immature descriptions and models with
roughly estimated parameters (not seen in the present paper). Afterwards, utilizing
the abilities of DCM, we attempted to build a model, consisting of the necessary
and enough species of state and transition elements. This was controlled via a feed-
back from the field expert.
Some examples for the important feedbacks are the followings:
•
The contribution of specific mechanisms to the endocytosis is cca. 70%;
•
Consider motor protein enhanced exocytosis for NV, NV_L and NV_D.
•
Various kinds of degradation exist, and they are commensurable with the
delivery; etc.
We can state that the future of the computer-assisted biosystem-related, biotech-
nological and biomedical studies depends highly on this kind of collaboration,
based on the mutual trust and understanding between the field expert and simulator.
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