Affiliations: University of Rostock, Faculty of Medicine, Institute
for Medical Informatics and Biometry, Rembrandt-Str. 16 / 17, D 18055
Rostock, Germany Tel.:+49(0)381 494 7310; Fax:+49(0)381 494 7203; E-mail:
aenne.glass@medizin.uni-rostock. de
Abstract: MOTIVATION: Most of diseases are caused by a set of gene defects,
which occur in a complex association. The association scheme of expressed genes
can be modelled by genetic networks. Genetic networks are efficiently
facilities to understand the dynamic of pathogenic processes by modelling
molecular reality of cell conditions. In this sense a genetic network consists
of first, a set of genes of specified cells, tissues or species and second,
causal relations between these genes determining the functional condition of
the biological system, i. e. under disease. A relation between two genes will
exist if they both are directly or indirectly associated with disease [8]. Our
goal is to characterize diseases (especially autoimmune diseases like chronic
pancreatitis CP, multiple sclerosis MS, rheumatoid arthritis RA) by genetic
networks generated by a computer system. We want to introduce this practice as
a bioinformatic approach for finding targets.
