Author

Maria I Bokarewa

University of GothenburgORCID 0000-0001-9424-5145Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Gergely KatonaiD· 3 shared Atsarina Larasati AnindyaiD· 2 shared María-José García-BoneteiD· 2 shared Stefano A. MezzasalmaiD· 2 shared Torbjörn Nur Olsson· 2 shared Venkataragavan ChandrasekaraniD· 2 shared David SvenssoniD· 1 shared Didier MarguetiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersSystems Biology

Gergely KatonaORCID

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3 papers

Recent·Most cited

Functional Group Composition: The Blueprint for Protein Interactions

Torbjörn Nur Olsson, Atsarina Larasati Anindya, María-José García-Bonete, Elwin X. Vrouwe, Didier Marguet, Jordane Preto, Vania Calandrini, Marco Pettini, S. Ruffenach, J. Torres, Venkataragavan Chandrasekaran, Maria I Bokarewa, Stefano A. Mezzasalma, Gergely Katona

The paper introduces a compositional model to predict protein interactions, showing that functional group composition can reliably predict survivin binding without relying on amino acid sequences.

bioRxiv · Oct 7, 2025 · PreprintSystems Biology

Insulin exerts epigenetic control of joint-specific memory T cells in rheumatoid arthritis

Venkataragavan Chandrasekaran, Malin C. Erlandsson, David Svensson, Eric Malmhäll-Bah, Sofia Töyrä Silfverswärd, Gergely Katona, Rille Pullerits, Maria I Bokarewa

This study shows insulin influences epigenetic regulation of memory T cells in RA via H3K27ac-survivin mechanism, affecting metabolic activity and immune responses.

bioRxiv · Apr 1, 2025 · PreprintImmunology

Deciphering Peptide-Protein Interactions via Composition-Based Prediction: A Case Study with Survivin/BIRC5

Atsarina Larasati Anindya, Torbjörn Nur Olsson, Maja Jensen, María-José García-Bonete, Sally P. Wheatley, Maria I Bokarewa, Stefano A. Mezzasalma, Gergely Katona

The paper predicts peptide-protein interactions using a composition-based model, showing that electrostatic and primary structure features are insufficient for accurate predictions.

Machine Learning Science and Technology · Jun 1, 2024Peer-reviewedBioinformatics