Computational identification of-1 frameshift signals

Sanghoon Moon, Yanga Byun, Kyungsook Han

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

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 sienals as well as discoverins unknown genes.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarian Bubak, Geert Dick van Albada, Peter M.A. Sloot, Jack J. Dongarra
PublisherSpringer Verlag
Pages334-341
Number of pages8
ISBN (Print)9783540221142
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3036
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Computational identification of-1 frameshift signals'. Together they form a unique fingerprint.

Cite this