Author

Athanassios Fragoulis

Universitätsklinikum AachenORCID 0000-0002-6973-3080Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Julio Sáez-RodrígueziD· 2 shared Thorsten CrameriD· 2 shared Antje Egners· 1 shared Aurélien J. F. DugourdiD· 1 shared Chris BielowiD· 1 shared Emanuel GonçalvesiD· 1 shared Guido MastrobuoniiD· 1 shared Hermann−Georg HolzhütteriD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersSystems Biology

Julio Sáez-RodríguezORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer

Nikolaus Berndt, Antje Egners, Guido Mastrobuoni, Olga Vvedenskaya, Athanassios Fragoulis, Aurélien J. F. Dugourd, Sascha Bulik, Matthias Pietzke, Chris Bielow, Rob J. J. van Gassel, Steven W.M. Olde Damink, Merve Erdem, Julio Sáez-Rodríguez, Hermann−Georg Holzhütter, Stefan Kempa, Thorsten Cramer

The paper uses a kinetic model of central carbon metabolism to predict metabolic reprogramming in liver cancer and validates findings through experiments.

British Journal of Cancer · Dec 9, 2019Peer-reviewedSystems Biology

Chromosomal rearrangements are commonly post-transcriptionally attenuated in cancer

Emanuel Gonçalves, Athanassios Fragoulis, Luz García‐Alonso, Thorsten Cramer, Julio Sáez-Rodríguez, Pedro Beltrão

The paper analyzes proteogenomic data to show that chromosomal rearrangements often reduce protein abundance post-transcriptionally, particularly in protein complexes, and identifies regulatory interactions linked to drug resistance.

Cell Systems · Oct 1, 2017Peer-reviewedGenomics