| Background and description
Theoretical modelling of such a complex situation as the structure and
processes at a biointerface is a great challenge. Due to the complexity
and many unknowns, mainly highly phenomenological models are feasible to
simulate the real situation. Still, it is highly desirable to develop both
such complex models and also much simplified models, in order to provide
simulation tools that can organize and incorporate the growing mass of
experimental information into descriptive models. The usefulness of such
models is both in order to analyze data, and to organize the knowledge
into conceptually reasonable and transparent models, and of course, to
guide experiments. In the present work we have addressed a number of
issues relevant to this program. The methods of choice were Monte Carlo
(MC) simulations (MCS), and in some cases mean field approximation (MFA).
This whole work was made possible by the long standing and extremely
productive collaboration with Professor V.P. Zhdanov from the Boreskov
Institute in Novosibirsk. He recieved a guest professorship at GU during
this project period.
Scientific results
The first addressed problem was protein adsorption, including protein
unfolding at surfaces. This also included processes in adsorbed 2D
protein layers such as nucleation and condensation of 2D islands. A
second area was simulations of protein folding – one of the long standing
challenges in theoretical molecular biology. Significant progress was
made in understanding different moves and the role of residue interactions
in these MC models (one licentiate thesis).
Another area that has been treated over several years in a number of
publications is vesicle adsorption, and their subsequent rupture and
fusion to a bilayer (see "Supported biomembranes"). These simulations
led to a phenomenological model which today is the basis for our current
picture of bilayer formation, and which is also guiding new experiments
to fill in “white spots” in the model.
More recently cellular processes have been addressed. One is glycolytic
(metabolic) oscillations in cells. This has in turn led to a collaborative
paper with Dr Agneta Richter at Karolinska Institute (KI) to model the
Ca2+ related oscillations that her group recently reported
in Nature.
Finally and more recently a scheme has been developed to mimic, by MC models,
stem cell division and differentiation in a 2D layer with an underlying
surface influencing the cell-cell signalling and evolution. Although at
a primitive stage we judge this as an extremely important tool for future
development in this area and for tissue engineering. It will also be part
of the EU Nanocues project and of the collaboration (Dr. J. Gold) with e.g.
Prof. Ernest Arenas at KI.
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