Author

Konstantina Tzavella

Université Libre de BruxellesORCID 0000-0001-6628-7567Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:variant effect prediction· 2 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Catharina OlseniD· 2 shared Wim VrankeniD· 2 shared Adrián DíaziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Catharina OlsenORCID

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2 papers

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedMar 1, 2026

Evolutionary constraints improve protein large language model predictions for protein stability, binding regions and epistasis

Konstantina Tzavella, Catharina Olsen, Wim Vranken

D2D improves protein mutation effect predictions using evolutionary constraints and a language model, outperforming existing methods in stability, binding, and epistasis.

DOI 10.34133/csbj.0226

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedNov 22, 2024

Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep

Konstantina Tzavella, Adrián Díaz, Catharina Olsen, Wim Vranken

D2Deep predicts cancer driver mutations by combining protein language models and evolutionary information, outperforming existing methods and enabling result interpretation.

9 citations

humanwhole-exome sequencing

𝕏 PostBluesky