Author

Thorben Fröhlking

University of GenevaORCID 0009-0002-0856-4567Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Francesco Luigi GervasioiD· 2 shared Alberto BorsattoiD· 1 shared Antonija KuzmaniciD· 1 shared Nicola PiasentiniD· 1 shared Pedro Febrer MartineziD· 1 shared Simone AureliiD· 1 shared Valerio RizziiD· 1 shared Vladimiras OleinikovasiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Francesco Luigi GervasioORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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

A Transferable and Robust Computational Framework for Class A GPCR Activation Free Energies

Simone Aureli, Nicola Piasentin, Thorben Fröhlking, Valerio Rizzi, Francesco Luigi Gervasio

This paper introduces a computational framework to calculate activation free energies for class A GPCRs, showing agreement with previous methods and providing new insights for the μ-opioid receptor.

The Journal of Physical Chemistry Letters · Mar 3, 2026Peer-reviewedBiophysics