Author

Orsolya Gereben

Semmelweis UniversityORCID 0000-0001-5038-9809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Erda QorriiD· 1 shared Hedvig TordaiiD· 1 shared Lana Khamisi· 1 shared Tamás HegedűsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Erda QorriORCID

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1 paper

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

pLM-SAV: A Δ-Embedding Approach for Predicting Pathogenic Single Amino Acid Variants

Orsolya Gereben, Hedvig Tordai, Lana Khamisi…·Tamás Hegedűs

pLM-SAV predicts pathogenic SAVs using delta-embeddings from protein language models, achieving high performance on labeled data and improving ambiguous predictions over AlphaMissense.

DOI 10.1093/bioadv/vbag195

protein sequencedeep learning

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