Author

David Harding-Larsen

Novo Nordisk FoundationORCID 0009-0001-7800-2669Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Brianna M. LaxiD· 2 shared Ditte Hededam WelneriD· 2 shared Stanislav MazurenkoiD· 2 shared Aboubakar Sako· 1 shared Catarina Mendonça· 1 shared Christopher K. WeingarteniD· 1 shared Felipe Mejia-OtalvaroiD· 1 shared Martina Escorial GarcíaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 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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BioengineeringChem & Bio EngineeringPeer-reviewedAug 5, 2026

Data-efficient distal engineering of fluorinase using zero-shot models

David Harding-Larsen, Brianna M. Lax, Christopher K. Weingarten…·Ditte Hededam Welner

This study uses zero-shot models to predict activity-enhancing mutations in fluorinase, leading to improved catalytic efficiency and stability in engineered variants.

DOI 10.1021/cbe.6c00028

protein sequencedeep learning

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