Mihaly Badonyi

@mbadonyi.bsky.social

postdoc @mpi-cbg.de computational biology | disease genetics

As we move towards a complete map of human variant effects, evaluating VEP and MAVE scores in clinically meaningful ways becomes essential. In work led by Yifei Shang and @jmarshlab.bsky.social, we explore mean evidence strength (MES) to quantify clinical utility after ACMG/AMP calibration.

bioRxivpreprint@biorxivpreprint.bsky.social ยท 4mo ago

Clinical evidence yield as a framework for evaluating computational predictors and multiplexed assays of variant effect https://www.biorxiv.org/content/10.64898/2026.03.27.714777v1

Pinc is now available as a C program, eliminating interpreter overhead and substantially speeding up computation for large-scale structural analyses. Itโ€™s still under active development, so please reach out with any questions, feedback, or issues. ๐Ÿ”— git.mpi-cbg.de/tothpetroczy... #alphafold

Mihaly Badonyi@mbadonyi.bsky.social ยท 5mo ago

My first manuscript in MPI colours! With @tothpetroczylab.bsky.social, we show that AlphaFold PAE-derived contact probabilities are well calibrated to the fraction of true interface contacts across experimentally determined protein dimers. www.biorxiv.org/content/10.6...

Two-panel calibration plot (two benchmark dimer datasets) comparing predicted interchain contact-probability bins (x-axis) with the observed fraction of native interfacial contacts (y-axis). Points follow the diagonal, indicating close agreement between predicted probabilities and true interface-contact fractions.

Great inaugural lecture by Joe. Honoured to see some of our joint work mentioned.

Institute of Genetics and Cancer@uoe-igc.bsky.social ยท 5mo ago

If you missed our Inaugural Lectures featuring Professor of Computational Protein Biology @jmarshlab.bsky.social and Professor of Computational Biology @csemple.bsky.social, you can catch up on their career journeys and research in genomics, cancer and computational biology here ๐Ÿ‘‰ edin.ac/3P86GhY

Can MAVEs and population-free VEPs be combined to improve variant classification? VEPs detect a broad range of pathogenic variants, while MAVEs give more conservative & decisive calls. Combined, they equitably reclassify >90% of VUS. Read more in our study on combining evidence from MAVEs and VEPs:

medRxivpreprint@medrxivpreprint.bsky.social ยท 8mo ago

Combining MAVEs and computational predictors improves variant classification across ancestries in hereditary cancer genes https://www.medrxiv.org/content/10.64898/2025.12.08.25341119v1

We have an exciting PhD opportunity through the EASTBIO programme, co-supervised with Diego Oyarzรบn. This project combines synthetic and systems biology to uncover the gene-regulatory circuitry hijacked in a cancer model. Weโ€™re looking for candidates with a strong interest in functional genomics.

EASTBIO - Dissecting CIC::DUX4 oncogenic circuitry through single-cell perturbation profiling and network inference at University of Edinburgh on FindAPhD.com

PhD Project - EASTBIO - Dissecting CIC::DUX4 oncogenic circuitry through single-cell perturbation profiling and network inference at University of Edinburgh, listed on FindAPhD.com

findaphd.com

1/3 In this work on RyR1, led by Rolando, we (@marshlab.bsky.social) highlight the limitations of using ROC AUC alone to assess clinical utility. Future approaches should consider classification behaviour across the full score distribution. ๐Ÿ“„ onlinelibrary.wiley.com/doi/epdf/10....

Complementary Roles of Structure and Variant Effect Predictors in RyR1 Clinical Interpretation

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onlinelibrary.wiley.com

I'm stoked to be organising next year's MSS right here in beautiful Melbourne! We know Australia is very far away, and we're working hard to make sure we can support as many ECRs to attend as possible, so please do register and apply for a travel award!

Atlas of Variant Effects Alliance@varianteffect.bsky.social ยท 10mo ago

๐Ÿ“ฃCall for Abstracts for the Mutational Scanning Symposium! #VariantEffect26 ๐Ÿ—“๏ธ March 25-27, 2026 ๐Ÿ“ Melbourne, Australia (and online!) ๐Ÿ“ Submit your abstract (deadline is Nov 2nd, 2025!) โžก๏ธ Registration is also now open!! โ„น๏ธ www.mss2026.org #FunctionalGenomics #Symposium #Australia #CallForAbstracts

Happy to share that ๐šŠ๐šŒ๐š–๐š๐šœ๐šŒ๐šŠ๐š•๐šŽ๐š› is now on CRAN! ๐ŸŽ‰ This means long-term stability and easy installation with: ๐š’๐š—๐šœ๐š๐šŠ๐š•๐š•.๐š™๐šŠ๐šŒ๐š”๐šŠ๐š๐šŽ๐šœ('๐šŠ๐šŒ๐š–๐š๐šœ๐šŒ๐šŠ๐š•๐šŽ๐š›') ๐Ÿ—ž๏ธ doi.org/10.1093/bioi... #rstats #acmg #varianteffect #MAVEs #VEPs #genomics

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We've developed a method to align genetic variant effect scores with ACMG/AMP classification criteria. It has two key advantages: (1) no assumptions about score distributions, and (2) consistent outputs without user tuning.

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social ยท last yr.

acmgscaler: An R package and Colab for standardised gene-level variant effect score calibration within the ACMG/AMP framework https://www.biorxiv.org/content/10.1101/2025.05.16.654507v1

Happy to have contributed to this work. As variant effect predictors become increasingly integral to genomic medicine, it is essential that their components and blueprints are accessible to researchers and developers.

Joe Marsh@jmarshlab.bsky.social ยท last yr.

New paper out in Genome Biology! ๐ŸŽ‰ We lay out best-practice guidelines for releasing variant effect predictors, developed through the Atlas of Variant Effects Alliance @varianteffect.bsky.social Open, interpretable, and clinically useful VEPs are the goal. ๐Ÿ“„ doi.org/10.1186/s130...