Prediction of readthroughs based on the statistical analysis of nucleotides around stop codons

Sanghoon Moon, Yanga Byun, Kyungsook Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Readthrough is an unusual translational event in which a stop codon is skipped or misread as a sense codon. Translation then continues past the stop codon and results in an extended protein product. Reliable prediction of readthroughs is not easy since readthrough is in competition with standard decoding and readthroughs occur only at a tiny fraction of stop codons in the genome. We developed a program that predicts readthrough sites directly from statistical analysis of nucleotides surrounding all stop codons in genomic sequences. Experimental results of the program on 86 genome sequences showed that 80% and 100% of the actual readthrough sites were found in the top 3% and 10% prediction scores, respectively.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
PublisherSpringer Verlag
Pages276-283
Number of pages8
ISBN (Print)3540343792, 9783540343790
DOIs
StatePublished - 2006
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: 28 May 200631 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3991 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceICCS 2006: 6th International Conference on Computational Science
Country/TerritoryUnited Kingdom
CityReading
Period28/05/0631/05/06

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