Evidence map›Paper›PMID 21574061›Full record

ArticleThe protein journal2011

Classification of bacteria based on the biases of terminal amino acid residues.

Michio Asada, Hideki Hirakawa, Satoru Kuhara

Abstract read
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In one paragraph

Article in The protein journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Michio AsadaGraduate School of Systems Life Sciences, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan.
Hideki Hirakawa
Satoru Kuhara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequencies of amino acid residues are known to be biased at both terminal regions of amino acid sequences deduced from bacterial genomic DNA. To investigate whether or not the features of biases of amino acid residues at the terminal regions are related to the bacterial phylogeny, we calculated the normalized amino acid compositions at both terminal regions, and used these compositions to classify 144 bacteria by hierarchical clustering analysis. Our results showed that most of these bacteria were classified into taxonomic classes by the hierarchical clustering analysis that was based on the normalized amino acid compositions at the N-terminal region. Therefore, we concluded that the features of biases of the N-terminal amino acid residues were related to the bacterial phylogeny.

Indexed as

Amino AcidsBacteriaBacterial ProteinsCluster AnalysisGenome, BacterialPhylogenyAmino AcidsBacterial Proteins

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.