Prediction of combination therapies based on topological modeling of the immune signaling network in Multiple Sclerosis
Martí Bernardo-Faura, Melanie Rinas, Jakob Wirbel, Inna Pertsovskaya, Vicky Pliaka, Dimitris E Messinis, Gemma Vila, Theodore Sakellaropoulos, Wolfgang Faigle, Pernilla Stridh, Janina Ruth Behrens, Tomas P Olsson, Roland Martinꝉ, Friedemann Paul, Leonidas G. Alexopoulos, , Julio Sáez-Rodríguez
The paper predicts combination therapies for MS by modeling patient-specific signaling networks using phosphoproteomics data and identifies TAK1 as a co-druggable target.
Genome Medicine · Jul 16, 2021Peer-reviewedSystems Biology