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Brownian dynamics simulations in hydrogels using an adaptive time-stepping algorithm

M. Kvarnström, A. Westergård, N. Lorén, and M. Nydén. Physical Review E (79), 016102, 2009.

Bioimaging papers selected for republication

CARS yeast image

Two recently published papers by FCC researchers have been selected for republication in the Virtual Journal for Biomedical Optics and in the Virtual Journal of Biological Physics Research.

A model reduction approach to the kinetics of the monocarboxylate transporter MCT1 and carbonic anhydrase II

J. Almquist, H. Schmidt, P. Lang, D. Prätzel-Wolters, J. W. Deitmer, M. Jirstrand, and H. M. Becker. The 9th Int. Conf. on Systems Biology, Gothenburg, Sweden, August 2008.

Systematic analysis of the RAS/cAMP/PKA signalling pathway using in vivo fluorescence microscopy

K. Bodvard, P. Sliwa, K. Logg, J. Almquist, M. Kvarnström, M. Jirstrand, A. Blomberg and M. Käll. The 9th Int. Conf. on Systems Biology, Gothenburg, Sweden, August 2008.

Automated Image Analysis for Quantification of Protein Localization in Budding Yeast

M. Kvarnström, K. Logg, J. Hagmar, K. Bodvard and M. Käll. The 9th Int. Conf. on Systems Biology, Gothenburg, Sweden, August 2008.

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About us

Systems Biology and BioiMAGING

We provide an integrated approach to the study of biochemical and physiological processes, from the characterization of single parts to the analysis of dynamic phenomena on a systems level. The work at the department includes both biological and biomedical modeling applications as well as development of computational tools and algorithms. Our focus areas are:

We receive substantial funding from the Swedish Foundation for Strategic Research (SSF). We have close collaborations with local partners and initiatives such as the Systems Biology group at the Department of Chemical and Biological Engineering, the Gothenburg Mathematical Modelling Center (GMMC),  Chalmers Biocenter, the Bionanophotonics Division of the Department of Applied Physics at Chalmers, and the Department of Cell- and Molecular Biology (CMB) at Gothenburg University. On the international level we are part of the BIOSIM network of excellence, the Yeast Systems Biology Network (YSBN), and the UNICELLSYS, CANCERSYS and SYSINBIO projects.