Author

J. Townley

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Assay:long-read sequencing· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:structural biology· 1 Organism:virus· 1

Frequent Co-Authors

R. Das· 2 shared A. Bakulin· 1 shared A. M. Watkins· 1 shared A. Zinkevich· 1 shared C. Choe· 1 shared C. Henkel· 1 shared D. B. T. Cox· 1 shared D. Jang· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBiophysics

R. Das

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Author profile →

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

De novo 3D models of SARS-CoV-2 RNA elements and small- molecule-binding RNAs to aid drug discovery

R. Rangan, A. M. Watkins, J. Chacon, W. Kladwang, I. N. Zheludev, J. Townley, M. Rynge, G. Thain, R. Das

The paper provides 3D models of SARS-CoV-2 RNA elements and small-molecule-binding RNAs to support drug discovery efforts using computational modeling and experimental validation.

bioRxiv · Apr 14, 2020 · PreprintBiochemistry