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Paper Details

Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis.
Genome Med
8
2021
B cell, EAE, EGCG, MS, Multiple sclerosis, Patients, TAK1, TGF-, TGF- activated kinase 1, Toll-like receptor, Transforming growth factor -1 proprotein, autoimmune encephalomyelitis, epigallocatechin gallate, fingolimod, glatiramer acetate, interferon-, mouse, multiple sclerosis, natalizumab, patient, patients, primary immune cells
Author NameAffiliation
Tomas OlssonKarolinska Institutet
Roland MartinUniversity of Zurich
Friedemann PaulNeuroCure Clinical Research Center and Department of Neurology, Charite University Medicine Berlin
Pablo VillosladaInstitut d' Investigacions Biomediques August Pi Sunyer (IDIBAPS)
Pablo VillosladaInstitut d' Investigacions Biomediques August Pi Sunyer (IDIBAPS)
Julio Saez-RodriguezEuropean Bioinformatics Institute
Julio Saez-RodriguezJoint Research Center for Computational Biomedicine (JRC-COMBINE), RWTH-Aachen University
Julio Saez-RodriguezInstitute for Computational Biomedicine, Heidelberg University Hospital and Faculty of Medicine, Heidelberg University
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