Author

Karolina Krzesińska

Technical University of DenmarkORCID 0009-0009-6337-023XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:simulation· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anna RohliniD· 2 shared Elena PapaleoiD· 2 shared Ludovica BeltrameiD· 2 shared Matteo ArnaudiiD· 2 shared Matteo TibertiiD· 2 shared Mef Christina NilbertiD· 2 shared Pablo Sánchez-Izquierdo BesoraiD· 2 shared Alberte Heering Estad· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anna RohlinORCID

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2 papers

Recent·Most cited

BioinformaticsProtein SciencePeer-reviewedApr 7, 2026

MAVISp: A Modular Structure-Based Framework for Protein Variant Effects

Matteo Arnaudi, Mattia Utichi, Kristine Degn…·Elena Papaleo

MAVISp provides a modular structural framework for analyzing protein variant effects, offering over eight million variants across 1000 proteins with curated data and a web server for accessibility.

3 citationstop 1%

protein sequencestatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 4, 2025

Interpreting the Effects of DNA Polymerase Variants at the Structural Level Using MAVISp and Molecular Dynamics Simulations

Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame…·Elena Papaleo

The paper uses MAVISp and molecular dynamics simulations to analyze DNA polymerase variants, classifying VUS and predicting functional consequences of POLE and POLD1 variants.

1 citation

protein structurestatistical model

𝕏 PostBluesky