The recent significant progress within molecular biology, genetics and
bioinformatics has resulted in detailed knowledge, and measurement data,
of the components that constitute a living cell. However, the various
functions of a cell can not be attributed to single genes or proteins,
but are rather a result of interactions between DNA, RNA, proteins and
metabolites within highly complex networks. The network interactions are
primarily created through biochemical reactions combined with transport
mechanisms, and involve a substantial amount of feedback type interactions.
Unravelling the functionality of biochemical networks, and thereby linking
cell physiology to the information encoded in the genome, will require
a systems approach based on mathematical modelling. In this talk we
introduce the use of systems and control theoretical concepts to
causal (dynamic) modelling and analysis of intracellular biochemical
networks. We briefly present some modelling approaches based on
experimental data, possibly combined with physical knowledge.  One
important use of such models is in analysis aimed at detecting specific
subnetworks, and mechanisms, underlying given functions. As an example
of such, we present a method we have recently developed for identifying
mechanisms underlying multistability (switches) and periodic oscillations
in biochemical networks. We illustrate the method by application to some
examples, including cell cycle control, circadian rhythms and the
oscillatory metabolism of activated neutrophils.

Referanser:
1. Modellering: FEBS J., May 2005
http://www.s3.kth.se/publications/2005/1727.pdf
2. Analyse, mest for regulerings- og kjemiteknikere: IEEE CS, Aug 2004
 http://www.s3.kth.se/control/main/general/publicationdb/documents/jacobsen0401.pdf
3. Analyse, med litt intro til reguleringsteknikk for bio: Systems Biology, June 2004
http://www.s3.kth.se/control/main/general/publicationdb/documents/jacobsenschmidt0401.pdf