Author

Andreas Unger

Technical University of DenmarkORCID 0000-0002-6538-8726Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Andreas Unger3 papers · University of Münster

Biology Disciplines

Click to filter author papers

Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas HaldiD· 1 shared C. B. WilliamsiD· 1 shared Diego Ruiz EspiiD· 1 shared Esperanza Rivera‐de‐TorreiD· 1 shared Gustavo Avelar MolinaiD· 1 shared Julia HeydiD· 1 shared Katrine Boldsen LundiD· 1 shared Kritika Sahni RayiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMolecular Biology

Andreas HaldORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Molecular BiologybioRxivPreprintOct 20, 2026

A rapid, automation-friendly, cell-free and purification-free pipeline for binding and kinetic characterisation of de novo designed binders with high quality standardised per-design data

Diego Ruiz Espi, Gustavo Avelar Molina, Oliver Sonne Buch…·Esperanza Rivera‐de‐Torre

This paper presents a rapid, automation-friendly pipeline for characterizing de novo protein binders without cell culture or purification, achieving binding affinity and kinetics in three days.

DOI 10.64898/2026.10.19.759856

humanproteomics

𝕏 PostBluesky