Author

Venkata Sai Sreyas Adury

University of Maryland, College ParkORCID 0000-0003-4652-6019Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

Pratyush TiwaryiD· 2 shared Anjali R. VermaiD· 1 shared Disha Sanwal· 1 shared John S. SchneeklothiD· 1 shared Lukas HerroniD· 1 shared Mrinal ShekhariD· 1 shared Richard JohniD· 1 shared Shams MehdiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiophysics

Pratyush TiwaryORCID

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2 papers

Recent·Most cited

BiophysicsJournal of Chemical Information and ModelingPeer-reviewedSep 9, 2026

Early-Enrichment Hit Discovery via Reversible-Work c(t) Estimation in Metadynamics (CTMD)

Venkata Sai Sreyas Adury, Pratyush Tiwary, Xinyu Gu, Mrinal Shekhar

This paper introduces CTMD, a physics-based method for early enrichment in virtual screening that outperforms approximate scoring functions and AI-based co-folding methods while being fast and transferable.

1 citation

deep learningstatistical model

𝕏 PostBluesky

BiophysicsbioRxivPreprintFeb 1, 2026

Ab initio prediction of RNA structure ensembles with RNAnneal

Lukas Herron, Yunrui Qiu, Anjali R. Verma…·Pratyush Tiwary

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

5 citations

structural biologydeep learning

𝕏 PostBluesky