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Misaki Sato

dblp:29/2024 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene regulation › post-transcriptional regulation
translational control analysis
0.012003
Computational Analysis of Stop Codon Readthrough in D.melanogaster · Bioinform. 2003

Methods — techniques the papers use, named apart from their topics

secondary structure analysis · 0.0protein motif search · 0.0
YearPublicationVenuePosition
2003 Computational Analysis of Stop Codon Readthrough in D.melanogaster
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.
Misaki Sato, Hitomi Umeki, Rintaro Saito, Akio Kanai, Masaru Tomita
Bioinform.1