Author

Viviam Bermudez

Norwegian University of Science and TechnologyORCID 0000-0002-9044-4742Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Eirini TsirvouliiD· 2 shared Marco Fariñas FernándeziD· 2 shared Adrien RougnyiD· 1 shared Ahmed Abdelmonem HemedaniD· 1 shared Akira FunahashiiD· 1 shared Alberto ValdeolivasiD· 1 shared Alexander MazeiniD· 1 shared Alfonso ValenciaiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersSystems Biology

Eirini TsirvouliORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

TRAFIKK: systematic prediction and mechanistic interpretation of anticancer drug synergies

Marco Fariñas, Viviam Bermudez, Eirini Tsirvouli, Kristine Lippestad, John Zobolas, Tero A. Aittokallio, Kaisa Lehti, Åsmund Flobak

TRAFIKK predicts and explains anticancer drug synergies by simulating drug effects in cell-specific models, achieving high recall and revealing both conserved and context-dependent mechanisms.

bioRxiv · May 12, 2026 · PreprintSystems Biology

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms

Anna Niarakis, Marek Ostaszewski, Alexander Mazein, Inna Kuperstein, Martina Kutmon, Marc E. Gillespie, Akira Funahashi, Márcio Luís Acencio, Ahmed Abdelmonem Hemedan, Michael Aichem, Karsten Klein, Tobias Czauderna, Felicia Burtscher, Takahiro Yamada, Yusuke Hiki, , the COVID-19 Disease Map Community

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

bioRxiv · Dec 17, 2022 · PreprintSystems Biology