Author

Jessica Emonts

FH AachenORCID 0000-0002-1476-0196Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin BerkelsiD· 1 shared Johannes F. BuyeliD· 1 shared Miriam Fernández-Giro MuñoziD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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 paperBioinformatics

Benjamin BerkelsORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 15, 2026

Ten numbers from the Laplace-Beltrami spectrum facilitate training-free classification of protein structures based on surface shape

Miriam Fernández-Giro Muñoz, Jessica Emonts, Benjamin Berkels, Johannes F. Buyel

The paper proposes using the first 10 Laplace-Beltrami eigenvalues to classify protein structures by surface shape, achieving high accuracy on benchmark datasets.

DOI 10.64898/2026.09.10.750378

protein structurestatistical model

𝕏 PostBluesky