Author

Patricia Suriana

Freie Universität BerlinORCID 0000-0002-0599-5233Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

Aleksander E. P. DurumericiD· 1 shared Jay Smith· 1 shared Jonas Köhler· 1 shared Katarina EleziD· 1 shared Lluı́s RaichiD· 1 shared Sean McCarty· 1 shared Terra SztainiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aleksander E. P. DurumericORCID

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1 paper

Recent·Most cited

Machine Learning Driven Simulations of the SARS-CoV-2 Fitness Landscape from Deep Mutational Scanning Experiments

Aleksander E. P. Durumeric, Sean McCarty, Jay Smith, Jonas Köhler, Katarina Elez, Lluı́s Raich, Patricia Suriana, Terra Sztain

The paper trains machine learning models on deep mutational scanning data to predict SARS-CoV-2 RBD variant fitness and outperforms point mutation averaging in extrapolating to Omicron variants.

Journal of Chemical Information and Modeling · May 6, 2026Peer-reviewedBioinformatics