Author

Martina Escorial García

Novo Nordisk FoundationORCID 0009-0008-9725-8943Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Brianna M. LaxiD· 2 shared Catarina Mendonça· 2 shared Ditte Hededam WelneriD· 2 shared Felipe Mejia-OtalvaroiD· 2 shared Agata MateraiD· 1 shared Alice BrangeriD· 1 shared Carme RoviraiD· 1 shared David Harding-LarseniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Brianna M. LaxORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedOct 5, 2026

PRIZM: Combining Low-N Data and Zero-shot Models to Design Enhanced Protein Variants

David Harding-Larsen, Brianna M. Lax, Martina Escorial García…·Stanislav Mazurenko

PRIZM uses low-N data and zero-shot models to rank protein variants, improving design efficiency with minimal experimental data.

1 citation

protein sequencedeep learning

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BiochemistrybioRxivPreprintJul 26, 2026

Efficient and low-impact enzymatic glycosylation with robust sucrose synthase variants

Felipe Mejia-Otalvaro, David John Eliezar P. Delima, Mandy Hobusch…·Ditte Hededam Welner

The paper reports engineered sucrose synthase variants with enhanced activity and stability for efficient glycosylation, achieving high conversion yields and reduced environmental impact.

1 citation

experimental assaydrug response / drug discovery

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