Towards an understanding of RNA structural modalities: a riboswitch case study.

Boltzmann distribution RNA secondary structures multimodality profiling suboptimal sample

Journal

Computational and mathematical biophysics
ISSN: 2544-7297
Titre abrégé: Comput Math Biophys
Pays: Poland
ID NLM: 101768811

Informations de publication

Date de publication:
Jan 2019
Historique:
entrez: 11 6 2021
pubmed: 1 1 2019
medline: 1 1 2019
Statut: ppublish

Résumé

A riboswitch is a type of RNA molecule that regulates important biological functions by changing structure, typically under ligand-binding. We assess the extent that these ligand-bound structural alternatives are present in the Boltzmann sample, a standard RNA secondary structure prediction method, for three riboswitch test cases. We use the cluster analysis tool RNAStructProfiling to characterize the different modalities present among the suboptimal structures sampled. We compare these modalities to the putative base pairing models obtained from independent experiments using NMR or fluorescence spectroscopy. We find, somewhat unexpectedly, that profiling the Boltzmann sample captures evidence of ligand-bound conformations for two of three riboswitches studied. Moreover, this agreement between predicted modalities and experimental models is consistent with the classification of riboswitches into thermodynamic versus kinetic regulatory mechanisms. Our results support cluster analysis of Boltzmann samples by RNAStructProfiling as a possible basis for de novo identification of thermodynamic riboswitches, while highlighting the challenges for kinetic ones.

Identifiants

pubmed: 34113790
doi: 10.1515/cmb-2019-0004
pmc: PMC8189328
mid: NIHMS1604320
doi:

Types de publication

Journal Article

Langues

eng

Pagination

48-63

Subventions

Organisme : NIGMS NIH HHS
ID : F31 GM130040
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM101237
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM126554
Pays : United States

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Auteurs

Hee Rhang Yoon (HR)

School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332.

Aaztli Coria (A)

Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, NC, 27599.

Alain Laederach (A)

Department of Biology, University of North Carolina, Chapel Hill, NC, 27599.

Christine Heitsch (C)

School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332.

Classifications MeSH