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New Algorithms in RNA Structure Prediction Based on BHG
- Source :
- International Journal of Pattern Recognition and Artificial Intelligence. 34:2050031
- Publication Year :
- 2020
- Publisher :
- World Scientific Pub Co Pte Lt, 2020.
-
Abstract
- There are some NP-hard problems in the prediction of RNA structures. Prediction of RNA folding structure in RNA nucleotide sequence remains an unsolved challenge. We investigate the computing algorithm in RNA folding structural prediction based on extended structure and basin hopping graph, it is a computing mode of basin hopping graph in RNA folding structural prediction including pseudoknots. This study presents the predicting algorithm based on extended structure, it also proposes an improved computing algorithm based on barrier tree and basin hopping graph, which are the attractive approaches in RNA folding structural prediction. Many experiments have been implemented in Rfam14.1 database and PseudoBase database, the experimental results show that our two algorithms are efficient and accurate than the other existing algorithms.
- Subjects :
- 0303 health sciences
ComputingMethodologies_SIMULATIONANDMODELING
business.industry
Computer science
Nucleic acid sequence
RNA
02 engineering and technology
Computational biology
03 medical and health sciences
ComputingMethodologies_PATTERNRECOGNITION
Artificial Intelligence
Rna structure prediction
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
Rna folding
business
Software
MathematicsofComputing_DISCRETEMATHEMATICS
030304 developmental biology
Subjects
Details
- ISSN :
- 17936381 and 02180014
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- International Journal of Pattern Recognition and Artificial Intelligence
- Accession number :
- edsair.doi...........c5367e2ffbfafad062a37b7f641c9e81