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Eterna participants

Primary ORCID profile (0000-0002-7508-6705 · 10 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Eterna ParticipantsiD10 papers · Eterna Massive Open Laboratory

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:long-read sequencing· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

R. Das· 2 shared A. Bakulin· 1 shared A. I. Strom· 1 shared A. Treuille· 1 shared A. Zinkevich· 1 shared C. Choe· 1 shared C. Henkel· 1 shared D. B. T. Cox· 1 shared

Activity by Year

2020-2024 · peak 1/yr

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10 top collaborators · 31 mutual co-author links

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2 shared papersBiophysics

R. Das

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2 papers

Recent·Most cited

Ribonanza: deep learning of RNA structure through dual crowdsourcing

S. He, R. Huang, J. Townley, R. C. Kretsch, T. G. Karagianes, D. B. T. Cox, H. Blair, D. Penzar, V. Vyaltsev, E. Aristova, A. Zinkevich, A. Bakulin, H. Sohn, D. Krstevski, T. Fukui, , R. Das

The paper introduces RibonanzaNet, a deep learning model trained on crowdsourced RNA chemical mapping data to predict RNA structure and related properties.

bioRxiv · Feb 24, 2024 · PreprintBiophysics

RNA secondary structure packages evaluated and improved by high-throughput experiments

H. K. Wayment-Steele, W. Kladwang, A. I. Strom, J. Lee, A. Treuille, Eterna Participants, R. Das

The paper evaluates RNA structure prediction packages using synthetic data and introduces an improved model that performs better on diverse datasets.

bioRxiv · May 29, 2020 · PreprintBiophysics