Biomedical Engineering Reference
In-Depth Information
In addition, DCM seems to be an effective methodology for the organization of
these collaborations.
5.3
Bi-Directional Bridge Building Between Experiments
and Computations
Looking at the other Chapters of this Volume, it is obvious that the majority of the
contributions are of very sophisticated nature and exhibited deep experimental
insight, related to various specific details. From an engineering point of views, they
are well-elaborated pieces of a puzzle. On the contrary, the simplified, but system-
atic computational model attempted to describe a hypothetical, but comprehensive
big picture. Similar to bridge building, in computational systems biology, we have
to start from the two sides of the bridge and we have to meet in the middle,
hopefully.
The hypothetical computations might help in the more conscious design of
experiments that supports the effective identification and validation of the models.
For example, nanotechnological measurement techniques make possible to select
cellular compartments and to measure the drug or nanocarrier content of them, at
least at some important points. On the other hand, the identified models could
replace some exhaustive measurements.
For researchers and experimentalists who are interested, this program can be
made available in an interactive format for exploration.
References
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