CoFold: thermodynamic RNA structure prediction with a kinetic twist
Existing state-of-the-art methods that take a single RNA sequence and predict the corresponding RNA secondary-structure are thermodynamic methods. These predict the most stable RNA structure, but do not consider the process of structure formation. We have by now ample experimental and theoretical ev...
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creator | Proctor, Jeff R Meyer, Irmtraud M |
description | Existing state-of-the-art methods that take a single RNA sequence and predict
the corresponding RNA secondary-structure are thermodynamic methods. These
predict the most stable RNA structure, but do not consider the process of
structure formation. We have by now ample experimental and theoretical
evidence, however, that sequences in vivo fold while being transcribed and that
the process of structure formation matters. We here present a conceptually new
method for predicting RNA secondary-structure, called CoFold, that combines
thermodynamic with kinetic considerations. Our method significantly improves
the state-of-art in terms of prediction accuracy, especially for long sequences
of more than a thousand nucleotides length such as ribosomal RNAs. |
doi_str_mv | 10.48550/arxiv.1207.6013 |
format | Article |
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the corresponding RNA secondary-structure are thermodynamic methods. These
predict the most stable RNA structure, but do not consider the process of
structure formation. We have by now ample experimental and theoretical
evidence, however, that sequences in vivo fold while being transcribed and that
the process of structure formation matters. We here present a conceptually new
method for predicting RNA secondary-structure, called CoFold, that combines
thermodynamic with kinetic considerations. Our method significantly improves
the state-of-art in terms of prediction accuracy, especially for long sequences
of more than a thousand nucleotides length such as ribosomal RNAs.</description><identifier>DOI: 10.48550/arxiv.1207.6013</identifier><language>eng</language><subject>Quantitative Biology - Biomolecules ; Quantitative Biology - Quantitative Methods</subject><creationdate>2012-07</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1207.6013$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1207.6013$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Proctor, Jeff R</creatorcontrib><creatorcontrib>Meyer, Irmtraud M</creatorcontrib><title>CoFold: thermodynamic RNA structure prediction with a kinetic twist</title><description>Existing state-of-the-art methods that take a single RNA sequence and predict
the corresponding RNA secondary-structure are thermodynamic methods. These
predict the most stable RNA structure, but do not consider the process of
structure formation. We have by now ample experimental and theoretical
evidence, however, that sequences in vivo fold while being transcribed and that
the process of structure formation matters. We here present a conceptually new
method for predicting RNA secondary-structure, called CoFold, that combines
thermodynamic with kinetic considerations. Our method significantly improves
the state-of-art in terms of prediction accuracy, especially for long sequences
of more than a thousand nucleotides length such as ribosomal RNAs.</description><subject>Quantitative Biology - Biomolecules</subject><subject>Quantitative Biology - Quantitative Methods</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzz1vwjAUhWEvHRB0Z0L-A0mv44_EbCgqbSVEpYo9cuxrYUES5JhS_n1LYTrLqyM9hMwZ5KKSEl5M_AnfOSugzBUwPiF1PayHo1vStMfYDe7amy5Y-rVd0THFs03niPQU0QWbwtDTS0h7augh9Jj-unQJY5qRJ2-OIz4_dkp269dd_Z5tPt8-6tUmM0ryrATPtfGoeIXKuhKgxZYXQvpCW69bkMgZokfhlLLYMqi8KCvpNFoBTvMpWdxv_xHNKYbOxGtzwzQ3DP8Fyd9FSw</recordid><startdate>20120725</startdate><enddate>20120725</enddate><creator>Proctor, Jeff R</creator><creator>Meyer, Irmtraud M</creator><scope>ALC</scope><scope>GOX</scope></search><sort><creationdate>20120725</creationdate><title>CoFold: thermodynamic RNA structure prediction with a kinetic twist</title><author>Proctor, Jeff R ; Meyer, Irmtraud M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a653-70f39afe638e6cd700beb3245f29cf9b05e31eefe4d66ceb108f4785d9ec40d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Quantitative Biology - Biomolecules</topic><topic>Quantitative Biology - Quantitative Methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Proctor, Jeff R</creatorcontrib><creatorcontrib>Meyer, Irmtraud M</creatorcontrib><collection>arXiv Quantitative Biology</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Proctor, Jeff R</au><au>Meyer, Irmtraud M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CoFold: thermodynamic RNA structure prediction with a kinetic twist</atitle><date>2012-07-25</date><risdate>2012</risdate><abstract>Existing state-of-the-art methods that take a single RNA sequence and predict
the corresponding RNA secondary-structure are thermodynamic methods. These
predict the most stable RNA structure, but do not consider the process of
structure formation. We have by now ample experimental and theoretical
evidence, however, that sequences in vivo fold while being transcribed and that
the process of structure formation matters. We here present a conceptually new
method for predicting RNA secondary-structure, called CoFold, that combines
thermodynamic with kinetic considerations. Our method significantly improves
the state-of-art in terms of prediction accuracy, especially for long sequences
of more than a thousand nucleotides length such as ribosomal RNAs.</abstract><doi>10.48550/arxiv.1207.6013</doi><oa>free_for_read</oa></addata></record> |
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subjects | Quantitative Biology - Biomolecules Quantitative Biology - Quantitative Methods |
title | CoFold: thermodynamic RNA structure prediction with a kinetic twist |
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