Author

Aleksander Pałkowski

University of GdańskORCID 0000-0002-3140-8469Unclaimed 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:drug response / drug discovery· 3 Organism:human· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Javier A. AlfaroiD· 3 shared Ajitha RajaniD· 2 shared Alexander LairdiD· 2 shared Cátia PesquitaiD· 2 shared Christophe BattailiD· 2 shared Fabio Massimo ZanzottoiD· 2 shared Ashita SinghiD· 1 shared Ashwin Adrian KalloriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Javier A. AlfaroORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Simon Houston, Steven Marshall, Austin Miller, Aleksander Pałkowski, Javier A. Alfaro, Caroline E. Cameron

This paper uses AI to model the structure of T. pallidum proteins, annotates their functions, identifies potential pathogenesis-related proteins, and highlights vaccine targets.

bioRxiv · May 7, 2026 · PreprintMicrobiology

Expanding the definition of MHC Class I peptide binding promiscuity to support vaccine discovery across cancers with CARMEN

Michal Mateusz Waleron, Ashwin Adrian Kallor, Aleksander Pałkowski, Emilia Daghir‐Wojtkowiak, Piyush Borole, Mikołaj Kocikowski, Karol Połom, Fabio Marino, Beatriz Monterde, Michele Mastromattei, Davide Venditti, Mark D. Stares, Ashita Singh, Theodore Hupp, Christophe Battail, , Javier A. Alfaro

The paper expands the concept of MHC Class I peptide binding promiscuity to support vaccine discovery across cancers by analyzing data from 2,323 samples.

bioRxiv · May 8, 2025 · PreprintBioinformatics

The immunopeptidome from a genomic perspective: Establishing immune-relevant regions for cancer vaccine design

Georges Bedran, Tongjie Wang, Dominika Pankanin, Kenneth Weke, Alexander Laird, Christophe Battail, Fabio Massimo Zanzotto, Cátia Pesquita, Håkan Axelson, Ajitha Rajan, David James Harrison, Aleksander Pałkowski, Maciej Pawlik, Maciej Parys, J. Robert O’Neill, , Javier A. Alfaro

The paper develops COD-dipp to map MHC Class I antigens from cancer studies and identifies immune-relevant genomic regions for vaccine design.

bioRxiv · Jan 13, 2022 · PreprintBioinformatics