Author

Rhiju Das

Primary ORCID profile (0000-0001-7497-0972 · 36 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Rhiju DasiD36 papers · Howard Hughes Medical Institute

Biology Disciplines

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Approach:Bayesian inference· 1 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Assay:structural biology· 1

Frequent Co-Authors

Joseph D. Yesselman· 1 shared Kyle Beauchamp· 1 shared Vijay Pande· 1 shared

Activity by Year

2014-2015 · peak 1/yr

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3 top collaborators · 1 mutual co-author link

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1 shared paperBiophysics

Joseph D. Yesselman

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintNov 11, 2015

Modeling Small Non-canonical RNA Motifs with the Rosetta FARFAR Server

Joseph D. Yesselman, Rhiju Das

The paper describes protocols to model small non-canonical RNA motifs using the Rosetta FARFAR server for structural prediction and refinement.

DOI 10.1101/031278

structural biologydeep learning

BiophysicsbioRxivJan 24, 2014

Bayesian Energy Landscape Tilting: Towards Concordant Models of Molecular Ensembles

Kyle Beauchamp, Vijay Pande, Rhiju Das

This paper introduces BELT, a Bayesian framework that computes conformational ensembles from experimental data and discordant simulations, achieving accurate predictions for disordered proteins.

DOI 10.1016/j.bpj.2014.02.009

proteomicsBayesian inference