Author

David Spencer

ORCID 0000-0002-5789-6202Unclaimed 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 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

Cailen M. McCloskey· 2 shared John M. SuttoniD· 2 shared Robel Gemechu HaileiD· 2 shared Sean McClain· 2 shared Shaheed A. AbdulhaqqiD· 2 shared Abigail B. VenturaiD· 1 shared Alexander Brown· 1 shared Alexandria C. Kershner· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersMolecular Biology

Cailen M. McCloskey

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintMay 5, 2026

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

Simon Levine, Jonathan Edward King, Jacob Stern…·Amir Shanehsazzadeh

Origin-1 generates high-confidence, specific antibodies against zero-prior epitopes through generative AI, validated with biophysical assays and cryo-EM.

5 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 16, 2022

Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness

Sharrol T. Bachas, Goran Rakocevic, David Spencer…·Roberto Spreafico

Language models trained on high-throughput affinity data predict KD of unseen antibody variants across three orders of magnitude, and a "naturalness" score can be optimised alongside affinity.

63 citations

proteomicsdeep learning

𝕏 PostBluesky