Author

Adrian Henkel

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Approach:deep learning· 1 Approach:large language model· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Burkhard RostiD· 1 shared Joaquín Gómez SáncheziD· 1 shared Konstantin WeißenowiD· 1 shared Martin SteineggeriD· 1 shared Michael HeinzingeriD· 1 shared Milot MirditaiD· 1 shared

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2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Burkhard RostORCID

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1 paper

Recent·Most cited

Bilingual Language Model for Protein Sequence and Structure

Michael Heinzinger, Konstantin Weißenow, Joaquín Gómez Sánchez, Adrian Henkel, Milot Mirdita, Martin Steinegger, Burkhard Rost

ProstT5, a ProtT5 fine-tuned to translate between amino acids and Foldseek 3Di tokens, predicts structure strings for remote homology search and performs inverse folding.

NAR Genomics and Bioinformatics · Sep 28, 2024Peer-reviewedBioinformatics✦ In-depth digest