Author

Borgþór Pétursson

European Bioinformatics InstituteORCID 0000-0002-6784-6882Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:proteomics· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Evangelia PetsalakiiD· 2 shared Alessandro LussanaiD· 1 shared Benjamin Dominik MaieriD· 1 shared Brandon M. InvergoiD· 1 shared David T. Carreon BradleyiD· 1 shared Girolamo GiudiceiD· 1 shared Maruan HijaziiD· 1 shared Nosheen AkhtariD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Evangelia PetsalakiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Data-driven extraction of human kinase-substrate relationships from omics datasets

Benjamin Dominik Maier, Borgþór Pétursson, Alessandro Lussana, Evangelia Petsalaki

This study develops a machine learning model to predict kinase-substrate relationships from omics data, improving upon existing methods and providing a web tool for analysis.

Molecular & Cellular Proteomics · May 15, 2025Peer-reviewedBioinformatics

Proteome-wide inference of protein kinase regulatory circuits

Brandon M. Invergo, Borgþór Pétursson, Nosheen Akhtar, David T. Carreon Bradley, Girolamo Giudice, Maruan Hijazi, Pedro R. Cutillas, Evangelia Petsalaki, Pedro Beltrão

The paper predicts human kinase-kinase regulatory relationships and their effects using data-driven methods, revealing a sparse but denser network than typically considered.

Cell Systems · May 1, 2020Peer-reviewedSystems Biology