Computational Identification of -1 Frameshift Signals
Identifieur interne : 001831 ( Main/Exploration ); précédent : 001830; suivant : 001832Computational Identification of -1 Frameshift Signals
Auteurs : Sanghoon Moon [Corée du Sud, Niger] ; Yanga Byun [Corée du Sud, Niger] ; Kyungsook Han [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Ribosomal frameshifts in the -1 direction are used frequently by RNA viruses to synthesize a single fusion protein from two or more overlapping open reading frames. The slippery heptamer sequence XXX YYY Z is the best recognized of the signals that promote -1 frameshifting. We have developed an algorithm that predicts plausible -1 frameshift signals in long DNA sequences. Our algorithm is implemented in a working program called FSFinder (Frameshift Signal Finder). We tested FSFinder on 72 genomic sequences from a number of organisms and found that FSFinder predicts -1 frameshift signals efficiently and with greater sensitivity and selectivity than existing approaches. Sensitivity is improved by considering all potentially relevant components of frameshift signals, and selectivity is increased by focusing on overlapping regions of open reading frames and by prioritizing candidate frameshift signals. FSFinder is useful for analyzing -1 frameshift signals as well as discovering unknown genes.
Url:
DOI: 10.1007/978-3-540-24685-5_42
Affiliations:
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The slippery heptamer sequence XXX YYY Z is the best recognized of the signals that promote -1 frameshifting. We have developed an algorithm that predicts plausible -1 frameshift signals in long DNA sequences. Our algorithm is implemented in a working program called FSFinder (Frameshift Signal Finder). We tested FSFinder on 72 genomic sequences from a number of organisms and found that FSFinder predicts -1 frameshift signals efficiently and with greater sensitivity and selectivity than existing approaches. Sensitivity is improved by considering all potentially relevant components of frameshift signals, and selectivity is increased by focusing on overlapping regions of open reading frames and by prioritizing candidate frameshift signals. FSFinder is useful for analyzing -1 frameshift signals as well as discovering unknown genes.</div></front></TEI><affiliations><list><country><li>Corée du Sud</li><li>Niger</li></country></list><tree><country name="Corée du Sud"><noRegion><name sortKey="Moon, Sanghoon" sort="Moon, Sanghoon" uniqKey="Moon S" first="Sanghoon" last="Moon">Sanghoon Moon</name></noRegion><name sortKey="Byun, Yanga" sort="Byun, Yanga" uniqKey="Byun Y" first="Yanga" last="Byun">Yanga Byun</name><name sortKey="Han, Kyungsook" sort="Han, Kyungsook" uniqKey="Han K" first="Kyungsook" last="Han">Kyungsook Han</name><name sortKey="Han, Kyungsook" sort="Han, Kyungsook" uniqKey="Han K" first="Kyungsook" last="Han">Kyungsook Han</name></country><country name="Niger"><noRegion><name sortKey="Moon, Sanghoon" sort="Moon, Sanghoon" uniqKey="Moon S" first="Sanghoon" last="Moon">Sanghoon Moon</name></noRegion><name sortKey="Byun, Yanga" sort="Byun, Yanga" uniqKey="Byun Y" first="Yanga" last="Byun">Yanga Byun</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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