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10.1016/j.bbagrm.2014.02.011 http://scihub22266oqcxt.onion/10.1016/j.bbagrm.2014.02.011 C4148464!4148464!24583554     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=24583554&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Biochim+Biophys+Acta 2014 ; 1839 (10): 900-7 Nephropedia Template TP {{tp|p=24583554|t=2014. Computational analysis of riboswitch-based regulation |pdf=|usr=}}{{24583554}} gab.com Text Computational analysis of riboswitch-based regulation JO: Biochim Biophys Acta http://www.kidney.de/pget.php?&tw=1&pmid=24583554 #FOAvip Advances in computational analysis of riboswitches in the last decade have contributed greatly to our understanding of riboswitch regulatory roles and mechanisms. Riboswitches were originally discovered as part of sequence analysis of the 5?-untranslated region of mRNAs in the hope of finding novel gene regulatory sites, and the existence of structural RNAs appeared to be a spurious phenomenon. As more riboswitches were discovered, they illustrated diversity and adaptability of these RNA regulatory sequences. The fact that a chemically monotonous molecule like RNA can discern a wide range of substrates and exert a variety of regulatory mechanisms was subsequently demonstrated in diverse genomes and has hastened the development of sophisticated algorithms for their analysis and prediction. In this review, we focus on some of the computational tools for riboswitch detection and secondary structure prediction. The study of this simple yet efficient form of gene regulation promises to provide a more complete picture of a world that RNA once dominated and allows rational design of artificial riboswitches. This article is part of a Special Issue entitled: Riboswitches. Twit Text FOAVip Computational analysis of riboswitch-based regulation ????Biochim Biophys Acta http://www.kidney.de/pget.php?&tw=1&pmid=24583554 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24583554 #FOAvip English Wikipedia <ref>{{Cite pmid|24583554}}</ref> Computational analysis of riboswitch-based regulation #MMPMID24583554 Sun EI; Rodionov DA Biochim Biophys Acta 2014[Oct]; 1839 (10): 900-7 PMID24583554show ga Advances in computational analysis of riboswitches in the last decade have contributed greatly to our understanding of riboswitch regulatory roles and mechanisms. Riboswitches were originally discovered as part of sequence analysis of the 5?-untranslated region of mRNAs in the hope of finding novel gene regulatory sites, and the existence of structural RNAs appeared to be a spurious phenomenon. As more riboswitches were discovered, they illustrated diversity and adaptability of these RNA regulatory sequences. The fact that a chemically monotonous molecule like RNA can discern a wide range of substrates and exert a variety of regulatory mechanisms was subsequently demonstrated in diverse genomes and has hastened the development of sophisticated algorithms for their analysis and prediction. In this review, we focus on some of the computational tools for riboswitch detection and secondary structure prediction. The study of this simple yet efficient form of gene regulation promises to provide a more complete picture of a world that RNA once dominated and allows rational design of artificial riboswitches. This article is part of a Special Issue entitled: Riboswitches. äComputational analysis of riboswitch-based regulation (epmc).pdf DeepDyve Pubget Overpricing