DocumentCode :
2528222
Title :
Integration of RNA search methods for identifying novel riboswitch patterns in eukaryotes
Author :
Cohen, Adaya N. ; Kedem, Klara ; Shapira, Michal ; Barash, Danny
Author_Institution :
Dept. of Comput. Sci., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2005
fDate :
8-11 Aug. 2005
Firstpage :
193
Lastpage :
194
Abstract :
Riboswitches are RNA genetic control elements that were recently discovered in living cells. To regulate gene expression, they utilize a unique mechanism whereby small molecules bind to the aptamer or box region causing a conformational switch, without the participation of proteins. Riboswitches were initially found in the 5´ UTR of bacteria, with successive discoveries in prokaryotes. Evidence for their existence in eukaryotes has prompted their scarce detection in that kingdom. Bioinformatics methods are needed in order to locate new riboswitch candidates. Several relevant search strategies have been developed and investigated, each having its own advantages and deficiencies. By-merging several of these methods and integrating them in a hierarchical manner, it is possible to develop a combined strategy that will successfully locate potential candidates for the purpose of experimental validation.
Keywords :
biology computing; cellular biophysics; genetics; macromolecules; microorganisms; molecular biophysics; organic compounds; RNA genetic control element; RNA search method; aptamer; bacteria; bioinformatics method; conformational switch; eukaryotes; gene expression regulation; molecule binding; riboswitch pattern; Biochemistry; Bioinformatics; Databases; Gene expression; Genomics; Hidden Markov models; Proteins; RNA; Search methods; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN :
0-7695-2442-7
Type :
conf
DOI :
10.1109/CSBW.2005.78
Filename :
1540595
Link To Document :
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