Author

Ria Sonigra

University of WashingtonORCID 0000-0002-1657-6210Unclaimed 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:protein design· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alex KangiD· 2 shared Asim K. BeraiD· 2 shared David A. BakeriD· 2 shared Sagardip MajumderiD· 2 shared Amelie MedeirosiD· 1 shared Annika PhilominiD· 1 shared Brian CoventryiD· 1 shared Claire K. BaldusiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiochemistry

Alex KangORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintJul 15, 2026

Generative design of programmable asymmetric β-barrel nanopores

Annika Philomin, Ria Sonigra, Sagardip Majumder…·David A. Baker

This paper introduces a generative AI framework for designing transmembrane β-barrel nanopores with customizable properties for ion sensing, DNA translocation, and transport.

DOI 10.64898/2026.06.04.729630

protein structuredeep learning

𝕏 PostBluesky

BiochemistryProceedings of the National Academy of SciencesPeer-reviewedSep 15, 2025

Parametrically guided design of beta barrels and transmembrane nanopores using deep learning

David E. Kim, Joseph L. Watson, David Juergens…·David A. Baker

This paper designs beta barrels and transmembrane nanopores using deep learning and parametric methods, achieving high success rates with experimental validation.

21 citationstop 3%

protein structuredeep learning

𝕏 PostBluesky