Gabriel Ndipagbornchi Teku

University of Tampere
Supervisor: Mauno Vihinen
Funding: other
Date: 2012-01-01

Computational modeling of dynamic protein interaction networks of human immune system

Modeling biomolecular networks is a key focus in immunology and there is on-going research to infer such networks in different cell types from experimental data. The purpose of this graduate project is to conduct systems level analysis of the human immunome using gene expression and protein interaction data to gain more insights into immune and diseases processes in B and T cells. Primary Immunodeficiency diseases (PIDs) which are rare hereditary disorders of the immune system will be used as test conditions for the modeled signaling and regulatory networks of B and T cells. These studies could lead to the identification of previously unknown immune-related disease processes and reveal potential drug targets for the diseases.