Characteristics and Prediction of RNA Structure
Joint Authors
Li, Hengwu
Han, Huijian
Crandall, Keith A.
Zhu, Daming
Zhang, Caiming
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
RNA secondary structures with pseudoknots are often predicted by minimizing free energy, which is NP-hard.
Most RNAs fold during transcription from DNA into RNA through a hierarchical pathway wherein secondary structures form prior to tertiary structures.
Real RNA secondary structures often have local instead of global optimization because of kinetic reasons.
The performance of RNA structure prediction may be improved by considering dynamic and hierarchical folding mechanisms.
This study is a novel report on RNA folding that accords with the golden mean characteristic based on the statistical analysis of the real RNA secondary structures of all 480 sequences from RNA STRAND, which are validated by NMR or X-ray.
The length ratios of domains in these sequences are approximately 0.382L, 0.5L, 0.618L, and L, where L is the sequence length.
These points are just the important golden sections of sequence.
With this characteristic, an algorithm is designed to predict RNA hierarchical structures and simulate RNA folding by dynamically folding RNA structures according to the above golden section points.
The sensitivity and number of predicted pseudoknots of our algorithm are better than those of the Mfold, HotKnots, McQfold, ProbKnot, and Lhw-Zhu algorithms.
Experimental results reflect the folding rules of RNA from a new angle that is close to natural folding.
American Psychological Association (APA)
Li, Hengwu& Zhu, Daming& Zhang, Caiming& Han, Huijian& Crandall, Keith A.. 2014. Characteristics and Prediction of RNA Structure. BioMed Research International،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-490804
Modern Language Association (MLA)
Li, Hengwu…[et al.]. Characteristics and Prediction of RNA Structure. BioMed Research International No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-490804
American Medical Association (AMA)
Li, Hengwu& Zhu, Daming& Zhang, Caiming& Han, Huijian& Crandall, Keith A.. Characteristics and Prediction of RNA Structure. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-490804
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490804