Author

Siva Dasetty

University of ChicagoORCID 0000-0002-1666-7980Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Assay:protein structure· 1 Assay:structural biology· 1

Frequent Co-Authors

Andrew L. FergusoniD· 2 shared Tamara C. BidoneiD· 2 shared Daniel BeckettiD· 1 shared Gregory A. VothiD· 1 shared Jiangbo WuiD· 1 shared Robert E. CoffmaniD· 1 shared Tomasz SkóraiD· 1 shared Weizhi XueiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersBiophysics

Andrew L. FergusonORCID

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2 papers

Recent·Most cited

Prediction of αIIbβ3 integrin structures along its minimum free energy activation pathway

Siva Dasetty, Robert E. Coffman, Tamara C. Bidone, Andrew L. Ferguson

This paper predicts the structures of αIIbβ3 integrin along its minimum free energy activation pathway using a computational method, revealing correlated subdomain movements and providing insights for therapeutic design.

Biophysical Journal · Aug 18, 2025Peer-reviewedBiophysics

Data-Driven Equation-Free Dynamics Applied to Many-Protein Complexes: The Microtubule Tip Relaxation

Jiangbo Wu, Siva Dasetty, Daniel Beckett, Yihang Wang, Weizhi Xue, Tomasz Skóra, Tamara C. Bidone, Andrew L. Ferguson, Gregory A. Voth

This paper uses an equation-free method to accelerate all-atom simulations of microtubule tips, revealing structural differences between GDP- and GTP-bound states.

Biophysical Journal · Jan 16, 2025Peer-reviewedBiophysics