Author

Daphné Truan

GlaxoSmithKline (United States)ORCID 0000-0003-0255-7665Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Diego del AlamoiD· 2 shared Joel D. KarpiakiD· 2 shared Jeliazko R. JeliazkoviD· 1 shared Rahel FrickiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioengineering

Diego del AlamoORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 9, 2025

Adapting ProteinMPNN for antibody design without retraining

Diego del Alamo, Rahel Frick, Daphné Truan, Joel D. Karpiak

This paper shows that combining ProteinMPNN with AbLang improves antibody design, generating more effective HER2 binders than ProteinMPNN alone.

7 citations

protein sequencedeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintDec 16, 2023

Conformational sampling and interpolation using language-based protein folding neural networks

Diego del Alamo, Jeliazko R. Jeliazkov, Daphné Truan, Joel D. Karpiak

This paper shows that ESMFold can predict alternate protein conformations and generate interconversion paths between them using sequence embeddings from ESM2.

2 citations

protein sequenceprotein structure

𝕏 PostBluesky