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Bioinformatics
Article . 2003 . Peer-reviewed
Data sources: Crossref
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Bioinformatics
Article
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Bioinformatics
Article . 2004
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Article . 2020
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Computational analysis of stop codon readthrough in D.melanogaster

Authors: Misaki Sato; Hitomi Umeki; Rintaro Saito; Akio Kanai; Masaru Tomita;

Computational analysis of stop codon readthrough in D.melanogaster

Abstract

Abstract Motivation: Readthrough is an unusual process in which a stop codon is misread or skipped. Recently it has been shown that some translation is regulated by the readthrough reactions although the complete mechanism is not clear. Therefore, the discovery of ‘readthrough genes’ is important for further investigation of their cellular roles, which may provide additional insights into the mechanism of translational regulation. Results: We constructed a system that lists candidates of readthrough genes based on the existence of a ‘protein motif’ at the 3′ untranslated region (UTR). Using this system, we extracted 85 candidates from 4082 nucleic acid sequences of Drosophila melanogaster in GenBank database. The sequences of these candidates had a slightly more stable secondary structure and different base preferences compared to the non-candidates. As these features are known to have an effect on readthrough events, we would like to suggest that these candidates contain actual readthrough genes. Availability: Source code of the system is available upon request. Contact: rsaito@sfc.keio.ac.jp * To whom correspondence should be addressed.

Related Organizations
Keywords

Base Sequence, Gene Expression Profiling, Molecular Sequence Data, Reproducibility of Results, Sequence Analysis, DNA, Sensitivity and Specificity, Drosophila melanogaster, Gene Expression Regulation, Protein Biosynthesis, Codon, Terminator, Animals, Drosophila Proteins, Sequence Alignment, Algorithms

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
gold