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PMID: 10648793 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Prediction of common secondary structures of RNAs: a genetic algorithm approach.

Nucleic acids research ·Vol. 28 ·No. 4 ·2000-02-15 ·Pages 991-9

Chen JH, Le SY, Maizel JV

Abstract

In this study we apply a genetic algorithm to a set of RNA sequences to find common RNA secondary structures. Our method is a three-step procedure. At the first stage of the procedure for each sequence, a genetic algorithm is used to optimize the structures in a population to a certain degree of stability. In this step, the free energy of a structure is the fitness criterion for the algorithm. Next, for each structure, we define a measure of structural conservation with respect to those in other sequences. We use this measure in a genetic algorithm to improve the structural similarity among sequences for the structures in the population of a sequence. Finally, we select those structures satisfying certain conditions of structural stability and similarity as predicted common structures for a set of RNA sequences. We have obtained satisfactory results from a set of tRNA, 5S rRNA, rev response elements (RRE) of HIV-1 and RRE of HIV-2/SIV, respectively.

MeSH Terms
Algorithms Base Sequence Molecular Sequence Data Nucleic Acid Conformation RNA/chemistry,genetics Sequence Homology, Nucleic Acid
Chemicals
RNA
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Chen J H
Advanced Biomedical Computing Center, SAIC, NCI/FCRDC, Frederick, MD 21702, USA. chen@ncifcrf.gov
Le S Y
Maizel J V
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
Published
2000-02-15
Pages
991-9
Language
English
Region
England
NLM ID
0411011
PMCID
PMC102574
Subset
IM
Grants
NCI NIH HHS · N01-CO-56000 · United States
Databases
GENBANK
D00835, J03654, J04498, J04542, L07625, M15390, M16403, M19499, M30502, M31113
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