Author

Samuel Davis

The University of QueenslandORCID 0000-0002-0610-7103Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Samuel Davis1 paper · European Molecular Biology Laboratory

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Mikael Bodén AiD· 2 shared Ariane MoraiD· 1 shared Gerhard SchenkiD· 1 shared Ivan KoludaroviD· 1 shared Oscar Daniel PAREDES TRUJILLOiD· 1 shared Patrick DiepiD· 1 shared Sanjana TuleiD· 1 shared Sebastian Antonio PorrasiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Mikael Bodén AORCID

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2 papers

Recent·Most cited

TreeGazer: Prospecting Protein Sequence-Function Landscapes via Phylogenetic Structure

Sebastian Antonio Porras, Samuel J. Davis, Oscar Daniel PAREDES TRUJILLO, Patrick Diep, Gerhard Schenk, Mikael Bodén A

TreeGazer selects informative protein sequences using phylogenetic structure and Bayesian optimization, outperforming alternative strategies in simulated campaigns and low-data settings.

bioRxiv · May 17, 2026 · PreprintBioinformatics

Generating Hybrid Proteins with the MSA-Transformer

Sanjana Tule, Samuel Davis, Ivan Koludarov, Ariane Mora, Mikael Bodén A

The paper introduces a framework using MSA-Transformer to generate hybrid proteins between specified source and target proteins, producing sequences with higher consistency and plausibility than random baselines.

bioRxiv · Nov 20, 2025 · PreprintBioinformatics