Speaker
Prof.
Olivier Martin
(Universite Paris Sud - Orsay)
Description
Even though many vital cellular process are known to be
tightly controlled, the associated regulatory network can
vary significantly from species to species. To explore the
space of all possible networks or circuits that implement a
specified control or function, we use Markov Chain Monte
Carlo (MCMC) and biophysical modeling. First, we show that
the molecular encoding of the genetic interactions naturally
leads to sparse networks. Second, we consider different
types of cellular functions; our MCMC sampling then reveals
that the structure of the functional networks is shaped by
these functions. Finally, by examining the emergent
structural features found such as edge usage or network
motifs, we uncover pieces of regulatory logic responsible
for functional capabilities in these networks.
Primary author
Prof.
Olivier Martin
(Universite Paris Sud - Orsay)
