Author

Joshua Southern

Imperial College LondonORCID 0000-0001-9042-6504Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Bruno E. CorreiaiD· 2 shared Sandrine GeorgeoniD· 2 shared Stéphane RossetiD· 2 shared Alexandra Van Hall‐BeauvaisiD· 1 shared Andreas LoukasiD· 1 shared Casper A. GoverdeiD· 1 shared David A. BakeriD· 1 shared Joseph L. WatsoniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioengineering

Bruno E. CorreiaORCID

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2 papers

Recent·Most cited

Accurate single domain scaffolding of three non-overlapping protein epitopes using deep learning

Karla M. Castro, Joseph L. Watson, Jue Wang, Joshua Southern, Reyhaneh Ayardulabi, Sandrine Georgeon, Stéphane Rosset, David A. Baker, Bruno E. Correia

This paper designs small single domain proteins that present three distinct viral epitopes using deep learning, showing improved immunogenicity compared to single-epitope designs.

Nature Chemical Biology · Dec 5, 2025Peer-reviewedBioengineering

Exploring "dark matter" protein folds using deep learning

Zander Harteveld, Alexandra Van Hall‐Beauvais, Ирина Морозова, Joshua Southern, Casper A. Goverde, Sandrine Georgeon, Stéphane Rosset, Michëal Defferrard, Andreas Loukas, Pierre Vandergheynst, Michael M. Bronstein, Bruno E. Correia

This paper introduces a deep learning framework called Genesis to learn protein structural patterns and demonstrates its ability to design novel protein folds with high protease resistance.

Cell Systems · Oct 1, 2024Peer-reviewedBioinformatics