Author

Joana Alessandra Wilms

Forschungszentrum JülichORCID 0000-0001-5655-7009Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Dieter WillboldiD· 2 shared Joshua A. KritzeriD· 2 shared Oliver H. WeiergräberiD· 2 shared A G MurrayiD· 1 shared Alex KangiD· 1 shared Alexander EngstromiD· 1 shared Alexandria N. LeveilleiD· 1 shared Alina ÜffingiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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10 top collaborators · 39 mutual co-author links

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2 shared papersBiochemistry

Dieter WillboldORCID

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2 papers

Recent·Most cited

BiochemistryRSC Chemical BiologyPeer-reviewedJan 1, 2026

Minimal N-methylated and stapled peptide ligands for the autophagy protein GABARAP

I. McDonald, Joana Alessandra Wilms, Nicholas Cardi…·Joshua A. Kritzer

This paper develops N-methylated and stapled peptide ligands for GABARAP with low nanomolar affinity and subfamily selectivity.

DOI 10.1039/d6cb00111d

proteomicsexperimental assay

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BiochemistryNature Chemical BiologyPeer-reviewedJun 20, 2025

Accurate de novo design of high-affinity protein binding macrocycles using deep learning

Stephen Rettie, David Juergens, Victor Adebomi…·Gaurav Bhardwaj

This paper introduces RFpeptides, a deep learning framework for designing high-affinity macrocyclic peptides, achieving sub-nanomolar binding affinities and accurate structural predictions.

114 citationstop 1%

protein structuredeep learning

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