Author

Aurél György Prósz

Danish Cancer SocietyORCID 0000-0002-8494-6340Unclaimed 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:differential expression· 3 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Zoltán SzállásiiD· 3 shared Miklós DióssyiD· 2 shared Alexander J. NeiliD· 1 shared Bogumil Zimon· 1 shared Claus Storgaard SørenseniD· 1 shared Hayoung ChoiD· 1 shared Holda A. AnaghoiD· 1 shared István CsabaiiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersBioinformatics

Zoltán SzállásiORCID

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3 papers

Recent·Most cited

BioinformaticsJCO Precision OncologyPeer-reviewedSep 1, 2026

Identification of an ERCC2 mutation associated mutational signature of nucleotide excision repair deficiency in targeted panel sequencing data

Olivera Stojkova, Judit Börcsök, Zsófia Sztupinszki…·Zoltán Szállási

The paper identifies an ERCC2 mutation-associated mutational signature in targeted panel sequencing data linked to nucleotide excision repair deficiency in bladder cancer and shows its clinical relevance.

DOI 10.1200/po-26-00329

humanwhole-exome sequencing

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BioinformaticsbioRxivPreprintMay 11, 2026

Zero-shot biological reasoning with open-weights large language models reproduces CRISPR screen based prediction of synthetic lethal interactions.

Aurél György Prósz, Zsófia M. Sztupinszki, Miklós Dióssy…·Zoltán Szállási

This paper uses open-weight large language models to predict synthetic lethal interactions, outperforming random chance and non-LLM methods in reproducing CRISPR screen results.

DOI 10.64898/2026.01.28.702211

large language modelbenchmark study

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Cell BiologyCell ReportsPeer-reviewedJul 1, 2024

A site-specific analysis of the ADP-Ribosylome unveils Homogeneous DNA Damage-Induced Serine ADP-Ribosylation across wild-type and BRCA-mutant Breast Cancer cell lines

Holda A. Anagho, Meeli Mullari, Aurél György Prósz…·Michael Lund Nielsen

The paper analyzes the ADP-ribosylome in breast cancer cell lines to identify site-specific ADP-ribosylation patterns and their relation to PARP inhibitor sensitivity.

13 citations

humanproteomics

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