Author

Michëal Defferrard

École Polytechnique Fédérale de Lausanne

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

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Alexandra Van Hall‐BeauvaisiD· 1 shared Andreas LoukasiD· 1 shared Bruno E. CorreiaiD· 1 shared Casper A. GoverdeiD· 1 shared Joshua SoutherniD· 1 shared Michael M. BronsteiniD· 1 shared Pierre VandergheynstiD· 1 shared Sandrine GeorgeoniD· 1 shared

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1 shared paperBioinformatics

Alexandra Van Hall‐BeauvaisORCID

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1 paper

Recent·Most cited

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