Author

Elijah H. Day

University of California, Los AngelesORCID 0009-0000-5927-4426Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2

Frequent Co-Authors

Steffen LindertiD· 2 shared Zachary C. DrakeiD· 2 shared Paul D. TothiD· 1 shared Robert M. Bolz· 1 shared Sophie R. HarveyiD· 1 shared Vicki Hopper WysockiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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2 shared papersBiochemistry

Steffen LindertORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintJun 29, 2026

Incorporating Surfaced-Induced Dissociation Mass Spectrometry Data into an AlphaFold-derived deep learning network improves protein structure prediction

Robert M. Bolz, Elijah H. Day, Zachary C. Drake…·Steffen Lindert

The paper develops SIDFold, a deep learning model that integrates SID-nMS data with AlphaFold to improve protein complex structure prediction accuracy.

DOI 10.64898/2026.06.26.734850

protein structuredeep learning

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BiochemistryNature CommunicationsPeer-reviewedJul 25, 2025

Deep-Learning Structure Elucidation from Single-Mutant Deep Mutational Scanning

Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert

This paper introduces DMS-Fold, a method that uses deep mutational scanning data to improve AlphaFold2 predictions, achieving better results for most protein targets.

14 citations

protein structuredeep learning

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