Author

Dimitris E Messinis

ORCID 0000-0002-3393-6345Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Friedemann PauliD· 1 shared Gemma Vila· 1 shared Inna PertsovskayaiD· 1 shared Jakob WirbeliD· 1 shared Janina Ruth BehrensiD· 1 shared Julio Sáez-RodrígueziD· 1 shared Leonidas G. AlexopoulosiD· 1 shared Martí Bernardo-FauraiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Friedemann PaulORCID

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1 paper

Recent·Most cited

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