Advancing the prediction of coding variant effects using protein dynamics and stability information

Time frame: 
October 1, 2013 to December 31, 2017

Coding variants within the genome that alter the amino acid sequence of a protein can cause or increase susceptibility to a disease, or affect a person’s response to drugs. These amino acid mutations or deletions can modify the structure or stability of the protein and change its overall functionality in many ways. The relationship between amino acid mutations and protein functionality is however complex: in this project we develop new approaches expected to aid in the identification of disease-causing mutants, while trying to understand their modus operandi. The objectives are to uncover novel features directly related to protein stability and protein dynamics (objective 1) and evaluate the contribution of existing and novel features for predicting the effect of coding variants (objective 2). These enhancements will be directly applied to disease-related variant data available within the Brussels region (objective 3).

Promoters: Wim Vranken, Tom Lenaerts and Marianne Rooman

Partners: Guillaume Smits, Sonia Van Dooren, M. Abramowicz, M. Bonduelle, Ben Caljon, F. Libert, S. Seneca, W. Lissens, M. Prevost, Didier Croes, Catheline Vilain, Nicolas Simonis  and P. Tompa