Simulation of Folding Kinetics for Aligned RNAs

Jiabin Huang; Björn Voß

doi:https://doi.org/10.3390/genes12030347

Simulation of Folding Kinetics for Aligned RNAs

Standard

Simulation of Folding Kinetics for Aligned RNAs. / Huang, Jiabin; Voß, Björn.

In: GENES-BASEL, Vol. 12, No. 3, 347, 26.02.2021.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Huang, J & Voß, B 2021, 'Simulation of Folding Kinetics for Aligned RNAs', GENES-BASEL, vol. 12, no. 3, 347. https://doi.org/10.3390/genes12030347

APA

Huang, J., & Voß, B. (2021). Simulation of Folding Kinetics for Aligned RNAs. GENES-BASEL, 12(3), [347]. https://doi.org/10.3390/genes12030347

Vancouver

Huang J, Voß B. Simulation of Folding Kinetics for Aligned RNAs. GENES-BASEL. 2021 Feb 26;12(3). 347. https://doi.org/10.3390/genes12030347

Bibtex

@article{aa6df25b09cc415f9d8afff369459721,

title = "Simulation of Folding Kinetics for Aligned RNAs",

abstract = "Studying the folding kinetics of an RNA can provide insight into its function and is thus a valuable method for RNA analyses. Computational approaches to the simulation of folding kinetics suffer from the exponentially large folding space that needs to be evaluated. Here, we present a new approach that combines structure abstraction with evolutionary conservation to restrict the analysis to common parts of folding spaces of related RNAs. The resulting algorithm can recapitulate the folding kinetics known for single RNAs and is able to analyse even long RNAs in reasonable time. Our program RNAliHiKinetics is the first algorithm for the simulation of consensus folding kinetics and addresses a long-standing problem in a new and unique way. ",

author = "Jiabin Huang and Bj{\"o}rn Vo{\ss}",

year = "2021",

month = feb,

day = "26",

doi = "https://doi.org/10.3390/genes12030347",

language = "English",

volume = "12",

journal = "GENES-BASEL",

issn = "2073-4425",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "3",

}

RIS

TY - JOUR

T1 - Simulation of Folding Kinetics for Aligned RNAs

AU - Huang, Jiabin

AU - Voß, Björn

PY - 2021/2/26

Y1 - 2021/2/26

N2 - Studying the folding kinetics of an RNA can provide insight into its function and is thus a valuable method for RNA analyses. Computational approaches to the simulation of folding kinetics suffer from the exponentially large folding space that needs to be evaluated. Here, we present a new approach that combines structure abstraction with evolutionary conservation to restrict the analysis to common parts of folding spaces of related RNAs. The resulting algorithm can recapitulate the folding kinetics known for single RNAs and is able to analyse even long RNAs in reasonable time. Our program RNAliHiKinetics is the first algorithm for the simulation of consensus folding kinetics and addresses a long-standing problem in a new and unique way.

AB - Studying the folding kinetics of an RNA can provide insight into its function and is thus a valuable method for RNA analyses. Computational approaches to the simulation of folding kinetics suffer from the exponentially large folding space that needs to be evaluated. Here, we present a new approach that combines structure abstraction with evolutionary conservation to restrict the analysis to common parts of folding spaces of related RNAs. The resulting algorithm can recapitulate the folding kinetics known for single RNAs and is able to analyse even long RNAs in reasonable time. Our program RNAliHiKinetics is the first algorithm for the simulation of consensus folding kinetics and addresses a long-standing problem in a new and unique way.

U2 - https://doi.org/10.3390/genes12030347

DO - https://doi.org/10.3390/genes12030347

M3 - SCORING: Journal article

VL - 12

JO - GENES-BASEL

JF - GENES-BASEL

SN - 2073-4425

IS - 3

M1 - 347

ER -