Author

Jaroslav Štěrba

Masaryk UniversityORCID 0000-0002-8482-8352Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:variant effect prediction· 2 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Adam Dobias· 2 shared David BednářiD· 2 shared Gaspar PintoiD· 2 shared Ihor ArefieviD· 2 shared Jan ŠtouračiD· 2 shared Jiřı́ DamborskýiD· 2 shared Joan Planas-IglesiasiD· 2 shared Ondřej SlabýiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersBioinformatics

Adam Dobias

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cumate-inducible models of MYC-driven neuroblastoma identify mitoribosomal synthetic lethality as a precision oncology vulnerability in MYC(N)-amplified tumors

Adela Kubistova, I. R. Horak, Tomáš Bárta, Marie Šulová, Martin Marek, Jaroslav Štěrba, Karolina Borankova, Jan Skoda

This paper develops a cumate-inducible model to study MYC-driven neuroblastoma and identifies mitoribosomal synthetic lethality as a therapeutic target in MYC(N)-amplified tumors.

bioRxiv · Oct 1, 2026 · PreprintCancer Biology

Analysis of Mutations in Precision Oncology using The Automated, Accurate, and User-Friendly Web Tool PredictONCO

Rayyan Tariq Khan, Petra Pokorná, Jan Štourač, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowská, Jaroslav Štěrba, Jiřı́ Damborský, Ondřej Slabý, David Bednář

PredictONCO is a web tool that predicts the impact of mutations in cancer-related proteins using structural and sequence-based features, achieving high accuracy in variant classification.

Computational and Structural Biotechnology Journal · Nov 14, 2024Peer-reviewedBioinformatics

A Computational Workflow for Analysis of Missense Mutations in Precision Oncology

Rayyan Tariq Khan, Petra Pokorná, Jan Štourač, Simeon Borko, Ihor Arefiev, Joan Planas-Iglesias, Adam Dobias, Gaspar Pinto, Veronika Szotkowská, Jaroslav Štěrba, Ondřej Slabý, Jiřı́ Damborský, Stanislav Mazurenko, David Bednář

This paper presents a bioinformatics pipeline for analyzing missense mutations in oncogenic proteins, providing a probability score for functional impact and suggesting potential FDA/EMA-approved drugs.

Journal of Cheminformatics · Jul 29, 2024Peer-reviewedCancer Biology