Author

Alexandra Vujkovic

University of AntwerpORCID 0000-0002-7269-2494Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Anna PostovskayaiD· 2 shared Pieter MeysmaniD· 2 shared Abril GijsbersiD· 1 shared Aldo Jongejaan· 1 shared Aleksandra M. WalczakiD· 1 shared Alessandro Montemurro· 1 shared Alexander O. PasternakiD· 1 shared Anna WeberiD· 1 shared

Activity by Year

2023-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Anna PostovskayaORCID

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Author profile →

4 papers

Recent·Most cited

Pure CD32+ CD4+ Cells Are Cytotoxic Memory CD4+ T Lymphocytes Highly Enriched for HIV-1 DNA

Philipp Adams, Elena Herrera-Carrillo, Alexandra Vujkovic, Aldo Jongejaan, Perry D. Moerland, Majdouline El Moussaoui, Gilles Darcis, Ben Berkhout, Alexander O. Pasternak

The paper identifies CD32+ CD4+ T cells as a rare, cytotoxic memory subset enriched for HIV-1 DNA in treated patients.

bioRxiv · Jul 9, 2025 · PreprintImmunology

Single nucleotide variation catalogue from clinical isolates mapped on tertiary and quaternary structures of ESX-1 related proteins reveals critical regions as putative Mtb therapeutic targets

Oren Tzfadia, Axel Siroy, Alexandra Vujkovic, Abril Gijsbers, Jihad Snobre, Roger Vargas, Wim Mulders, Conor Joseph Meehan, Maha Reda Farhat, Peter J. Peters, Bouke Catherine de Jong, Raimond B. G. Ravelli

The paper identifies conserved regions in ESX-1 related proteins by mapping SNVs from MTB isolates onto protein structures, highlighting potential therapeutic targets.

bioRxiv · Jun 22, 2023 · PreprintGenomics

Leveraging T-cell receptor - epitope recognition models to disentangle unique and cross-reactive T-cell response to SARS-CoV-2 during COVID-19 progression/resolution

Anna Postovskaya, Alexandra Vujkovic, Tessa de Block, Lida van Petersen, Maartje Van Frankenhuijsen, Isabel Brosius, Emmanuel Bottieau, Christophe Van Dijck, Caroline Theunissen, Sabrina H. van Ierssel, Erika Vlieghe, Esther Bartholomeus, Kerry A. Mullan, Wim J. Adriaensen, Guido L. Vanham, , Pieter Meysman

The paper uses TCR-epitope recognition models to analyze CD8+ T-cell responses in COVID-19 patients, finding that non-critical patients develop unique SARS-CoV-2-specific T-cell responses not seen in critical patients.

Frontiers in Immunology · May 31, 2023Peer-reviewedBioinformatics

Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report

Pieter Meysman, Justin Barton, Barbara Bravi, Liel Cohen-Lavi, Vadim K Karnaukhov, Elias Lilleskov, Alessandro Montemurro, Morten Nielsen, Thierry Mora, Paul Pereira, Anna Postovskaya, María Rodríguez Martínez, Jorge Fernández-de-Cossio-Díaz, Alexandra Vujkovic, Aleksandra M. Walczak, , Virag Sharma

The paper benchmarks 23 TCR-epitope prediction models, finding that using paired-chain alpha-beta and CDR1/2/V/J data improves performance, and simple distance-based methods can be competitive.

ImmunoInformatics · Feb 3, 2023Peer-reviewedBioinformatics