Author

Prajna Mishra

University of PennsylvaniaORCID 0009-0009-4044-7804Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Gregory R. BowmaniD· 2 shared Si ZhangiD· 2 shared Devin G. KellyiD· 1 shared Rachit KumariD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBiophysics

Gregory R. BowmanORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintMay 23, 2026

AE-PocketMiner Uses Attention to Simultaneously Predict Cryptic Pockets and Their Allosteric Coupling

Si Zhang, Prajna Mishra, Devin G. Kelly…·Gregory R. Bowman

AE-PocketMiner predicts cryptic protein pockets and their allosteric coupling using a graph neural network, outperforming existing methods and validating predictions experimentally.

1 citation

protein structuredeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintNov 17, 2025

Opening of a cryptic pocket is not suppressed by excluded volume effects of crowding

Prajna Mishra, Si Zhang, Gregory R. Bowman

The study investigates whether synthetic crowders suppress cryptic pocket opening in a viral protein, finding negligible effects from excluded volume effects.

2 citations

protein structureexperimental assay

𝕏 PostBluesky