Author

Alberto Borsatto

University of GenevaORCID 0000-0002-8889-6491Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Francesco Luigi GervasioiD· 2 shared Alisa KhramushiniD· 1 shared Antonija KuzmaniciD· 1 shared Bruno E. CorreiaiD· 1 shared Christian SchellhaasiD· 1 shared Joseph H. SchmidtiD· 1 shared Kelvin LauiD· 1 shared Luciano A. AbriataiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersSynthetic Biology

Francesco Luigi GervasioORCID

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2 papers

Recent·Most cited

Computational design of protein conformational landscapes for metamorphic behavior

Alisa Khramushin, Maddalena Elia, Christian Schellhaas, Alberto Borsatto, Joseph H. Schmidt, Mohamad Yazan Chabaan, Roberta Pierattelli, Kelvin Lau, Francesco Luigi Gervasio, Luciano A. Abriata, Bruno E. Correia

This study designs metamorphic proteins that switch between multiple conformations and shows how mutations can shift their conformational equilibrium.

bioRxiv · Oct 13, 2026 · PreprintSynthetic Biology

CryptoBank: A Resource for the Identification and Prediction of Cryptic Sites in Proteins

Pedro Febrer Martinez, Thorben Fröhlking, Alberto Borsatto, Vladimiras Oleinikovas, Antonija Kuzmanic, Francesco Luigi Gervasio

CryptoBank identifies cryptic binding sites in proteins using structural alignments and a machine learning model, enabling prediction from sequence data with high precision.

Science Advances · Apr 22, 2026Peer-reviewedBioinformatics