Author

Aleksander Durumeric

Heidelberg UniversityORCID 0000-0001-5476-4493Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:simulation· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

Anirban Polley· 1 shared Daniel Iwamoto· 1 shared David CalderwoodiD· 1 shared Gregory A VothiD· 1 shared Jay Smith· 1 shared Jonas Köhler· 1 shared Katarina EleziD· 1 shared Lluı́s RaichiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBiophysics

Anirban Polley

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedMay 6, 2026

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

Aleksander E. P. Durumeric, Sean McCarty, Jay Smith…·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.

2 citationstop 2%

virusproteomics

𝕏 PostBluesky

BiophysicsbioRxivPreprintOct 15, 2017

New Insights into the Conformational Activation of Full-Length Integrin

Tamara C. Bidone, Anirban Polley, Aleksander Durumeric…·Gregory A Voth

This study investigates integrin conformational activation pathways using simulations and experiments, supporting a 'deadbolt' model over a 'switchblade-like' mechanism.

DOI 10.1101/203661

structural biologydeep learning

𝕏 PostBluesky