Author

Dagmar Ilzhöfer

Technical University of MunichORCID 0009-0005-2088-2826Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Burkhard RostiD· 1 shared Michael HeinzingeriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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

Burkhard RostORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsFrontiers in BioinformaticsPeer-reviewedOct 10, 2022

SETH predicts nuances of residue disorder from protein embeddings

Dagmar Ilzhöfer, Michael Heinzinger, Burkhard Rost

SETH predicts residue disorder from protein embeddings using ProtT5, outperforming complex methods while being faster and capturing nuanced disorder variations.

53 citationstop 5%

humanprotein sequence

𝕏 PostBluesky