Author

Disha Sanwal

University of Maryland, College Park

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Assay:structural biology· 1

Frequent Co-Authors

Anjali R. VermaiD· 1 shared John S. SchneeklothiD· 1 shared Lukas HerroniD· 1 shared Pratyush TiwaryiD· 1 shared Richard JohniD· 1 shared Shams MehdiiD· 1 shared Suemin LeeiD· 1 shared Venkata Sai Sreyas AduryiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

Anjali R. VermaORCID

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1 paper

Recent·Most cited

Ab initio prediction of RNA structure ensembles with RNAnneal

Lukas Herron, Yunrui Qiu, Anjali R. Verma, Venkata Sai Sreyas Adury, Richard John, Suemin Lee, Shams Mehdi, Disha Sanwal, John S. Schneekloth, Pratyush Tiwary

RNAnneal predicts RNA structural ensembles using deep learning and physics-based modeling, outperforming existing methods in classifying experimentally resolved conformations.

bioRxiv · Feb 1, 2026 · PreprintBiophysics