RNA structure prediction benchmarks associated with "Blind prediction of noncanonical RNA structure at atomic accuracy."

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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
Date created 2015 - 2018

Creators/Contributors

Author Watkins, Andrew
Author Das, Rhiju

Subjects

Subject RNA
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
Location https://purl.stanford.edu/fq893cm4516

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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

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