Author

U. R. Shrestha

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· 2

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Research Focus:protein folding & dynamics· 2 Approach:deep learning· 1 Organism:E. coli· 1 Approach:mechanistic / dynamical model· 1 Assay:protein structure· 1

Frequent Co-Authors

J. C. Smith· 2 shared L. Petridis· 2 shared R. Agarwal· 1 shared X.-Q. Chu· 1 shared

Activity by Year

2020-2020 · peak 2/yr

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4 top collaborators · 6 mutual co-author links

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2 shared papersBiophysics

J. C. Smith

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2 papers

Recent·Most cited

BiophysicsBiophysical JournalPeer-reviewedJul 1, 2020

Mesophilic enzyme function at high temperature: moleculardynamics of hyperthermophilic and mesophilicpyrophosphatases

R. Agarwal, U. R. Shrestha, X.-Q. Chu…·J. C. Smith

This study compares the molecular dynamics of mesophilic and hyperthermophilic pyrophosphatases to explain their differing thermal stability and function.

DOI 10.1016/j.bpj.2020.05.021

E. coliprotein structure

𝕏 PostBluesky

BiophysicsbioRxivJun 16, 2020

Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations

U. R. Shrestha, J. C. Smith, L. Petridis

This study uses enhanced molecular dynamics simulations to generate accurate structural ensembles of intrinsically disordered proteins, validating results against experimental data.

DOI 10.1038/s42003-021-01759-1

deep learningprotein folding & dynamics

𝕏 PostBluesky