Author

Oliver Dutton

ORCID 0000-0002-4029-7326Unclaimed 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 Assay:protein sequence· 2 Research Focus:protein structure prediction· 2 Assay:protein structure· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Falk HoffmanniD· 3 shared Kamil TamiolaiD· 3 shared Benjamin M. J. OwensiD· 2 shared Carlo FisicaroiD· 2 shared Istvan Redl· 2 shared Louie D. HendersoniD· 2 shared Albert Chung· 1 shared Emanuele PaciiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBioinformatics

Falk HoffmannORCID

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3 papers

Recent·Most cited

Improving Inverse Folding models at Protein Stability Prediction without additional Training or Data

Oliver Dutton, Sandro Bottaro, Michele Invernizzi, Istvan Redl, Albert Chung, Falk Hoffmann, Louie D. Henderson, Stefano Ruschetta, Fabio Airoldi, Benjamin M. J. Owens, Patrik Foerch, Carlo Fisicaro, Kamil Tamiola

The paper improves protein stability prediction by modifying existing models with a self-derived term, enhancing their performance without additional training or data.

bioRxiv · Jun 15, 2024 · PreprintBiophysics

ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers

Istvan Redl, Carlo Fisicaro, Oliver Dutton, Falk Hoffmann, Louie D. Henderson, Benjamin M. J. Owens, Matthew M. Heberling, Emanuele Paci, Kamil Tamiola

ADOPT predicts protein intrinsic disorder using a deep bidirectional transformer, outperforming existing methods in speed and accuracy.

NAR Genomics and Bioinformatics · Mar 29, 2023Peer-reviewedBioinformatics

NeRFax: An efficient and scalable conversion from the internal representation to Cartesian space

Oliver Dutton, Falk Hoffmann, Kamil Tamiola

NeRFax converts internal coordinates to Cartesian coordinates efficiently, achieving significant performance gains over existing methods in peptide and biomolecular condensate reconstructions.

bioRxiv · May 25, 2022 · PreprintBioinformatics