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Hello, I’m Yoshiyuki Asai, a
group leader of open biology unit in
Okinawa Institute of
Science and Technology, Japan.
In this lecture I want to introduce a versatile platform for multilevel modeling of physiological systems.
In recent biological and physiological
research, computable mathematical models have
become increasingly important for integrating
the huge amount of knowledge and data obtained
from experiments and simulations, and for applying simulation results to medicine.
One of dream in such integrative
physiology is to cause a paradigm shift from
empirical medicine to predictive medicine.
To promote effective collaborations
to build large-scale models,
it is also important to consolidate
fundamental tools to support such activities.
Model sharing and model reuse, which are
crucial for the above-mentioned
multidisciplinary collaborations, must be
encouraged by using such tools.
There have been several pioneering efforts to develop technologies in that direction
such as SBML, CellML and PHML,
These are XML-based descriptive
to describe the dynamics of biological
and physiological systems.
The main purpose of the
development of these languages was
to establish a common
to enhance the exchange of
models among collaborators.
Research in this kind of direction is
sometimes referred to as Physiome,
which is one of omics such
as genome and proteome.
It is considered that the first step
what must be done in Physiome
is to develop comprehensive
methods for acquisition and databasing
of very large sets of information on
all aspects of biology
to share and reuse the data among researchers.
Then construct descriptive and quantitative
models and organize collaborations.