Document Type

Article

Publication Date

7-3-2019

Abstract

RNA molecules play many crucial roles in living systems. The spatial complexity that exists in RNA structures determines their cellular functions. Therefore, understanding RNA folding conformations, in particular, RNA secondary structures, is critical for elucidating biological functions. Existing literature has focused on RNA design as either an RNA structure prediction problem or an RNA inverse folding problem where free energy has played a key role.

Comments

Sourced from the publisher version at BioMedCentral / SpringerNature:
Su, C., Weir, J. D., Zhang, F., Yan, H., & Wu, T. (2019). ENTRNA: A framework to predict RNA foldability. BMC Bioinformatics, 20(1), #373. https://doi.org/10.1186/s12859-019-2948-5

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. CC BY 4.0

DOI

10.1186/s12859-019-2948-5

Source Publication

BMC Bioinformatics

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