RNA structure prediction benchmarks associated with "Blind prediction of noncanonical RNA structure at atomic accuracy."
Abstract/Contents
- Abstract
In order to benchmark the performance of the recently developed stepwise Monte
Carlo method for RNA 3D structure prediction, we assembled a test set of dozens
of common RNA motifs. Sufficiently accurate prediction of these crucial motifs
would enormously accelerate structure prediction for entire folded RNAs.
Description
Type of resource | software, multimedia |
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Date created | 2015 - 2018 |
Creators/Contributors
Author | Watkins, Andrew | |
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Author | Das, Rhiju |
Subjects
Subject | RNA |
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Subject | structure prediction |
Subject | Department of Biochemistry |
Genre | Dataset |
Bibliographic information
Related Publication | Watkins, AM, and Geniesse, Caleb, and Kladwang, Wipapat, and Zakrevsky, Paul, and Jaeger, Luc, and Das, Rhiju. (2018). Blind prediction of noncanonical RNA structure at atomic accuracy. Sciences Advances. 4(5): eaar5316. https://doi.org/10.1126/sciadv.aar5316 |
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Location | https://purl.stanford.edu/fq893cm4516 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Share Alike 3.0 Unported license (CC BY-SA).
Preferred citation
- Preferred Citation
- Watkins, Andrew and Das, Rhiju. (2015-2018) RNA structure prediction benchmarks associated with "Blind prediction of noncanonical RNA structure at atomic accuracy." Stanford Digital Repository. Available at: https://purl.stanford.edu/fq893cm4516
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- andy.watkins2@gmail.com
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