Author

Benoit Gaujac

University College London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Amelia Villegas-MorcilloiD· 1 shared Arthur FlajoletiD· 1 shared David Adméte· 1 shared Elia Saquand· 1 shared Karim BeguiriD· 1 shared Louis RobinsoniD· 1 shared Thomas D. BarrettiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Amelia Villegas-MorcilloORCID

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1 paper

Recent·Most cited

So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs

Thomas D. Barrett, Amelia Villegas-Morcillo, Louis Robinson, Benoit Gaujac, David Adméte, Elia Saquand, Karim Beguir, Arthur Flajolet

The paper presents a streamlined AlphaFold variant using pLMs and MSAs, showing that combining or using either modality achieves comparable performance to models trained exclusively on one.

bioRxiv · Oct 15, 2022 · PreprintBioinformatics