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Mathematical modelling plays an important role
in Systems Biology. Networks of biochemical
reactions are formally described and analyzed in order
to gain insight into the molecular mechanisms of the cell.
Typical examples of such systems are
gene regulatory networks which consist
of a number of genes, their encoded
protein products and the corresponding
messenger RNA molecules.
Since protein products serve as
transcription factors which means that they
control the expression
of genes, complex networks of
dependencies between genes and proteins
exist. They
are ultimately responsible for the functioning
of an organism and their study
is very important for the understanding of diseases. |
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Often mathematical models of coupled
biochemical reactions have to account for
the inherent randomness of the molecular
collisions and a formulation as a stochastic process
is necessary. Current research activities
are concerned with an efficient numerical solution of
the resulting stochastic models. |
We offer a semester project, in which the student will
model biological processes as Stochastic Automata Networks (SANs)
and use different SAN tools (APNN,
PEPS,
SMART) to analyse them.
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Contact: Verena Wolf
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