Evidence map›Paper›PMID 29178080›Full record

ArticleBiophysical reviews2018

Statistical description of the denatured structure of a single protein, staphylococcal nuclease, by FRET analysis.

Mariko Yamaguchi, Emi Ohta, Takuya Muto, Takayoshi Watanabe, Takahiro Hohsaka, Yoichi Yamazaki, Hironari Kamikubo, Mikio Kataoka

Abstract read
In one paragraph

Article in Biophysical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Mariko YamaguchiGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Emi OhtaGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Takuya MutoGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Takayoshi WatanabeSchool of Materials Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, Japan.
Takahiro HohsakaSchool of Materials Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, 923-1292, Japan.
Yoichi YamazakiGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Hironari KamikuboGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan.
Mikio KataokaGraduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, 630-0192, Japan. m_kataoka@cross.or.jp.ORCID http://orcid.org/0000-0001-6456-6394

Funding

Ministry of Education, Culture, Sports, Science and Technology 20107005Ministry of Education, Culture, Sports, Science and Technology 20107006Ministry of Education, Culture, Sports, Science and Technology 25102006Ministry of Education, Culture, Sports, Science and Technology JP25102003
6 · The paper itself

Abstract

Structural characterization of fully unfolded proteins is essential for understanding not only protein-folding mechanisms, but also the structures of intrinsically disordered proteins. Because an unfolded protein can assume all possible conformations, statistical descriptions of its structure are most appropriate. For this purpose, we applied Förster resonance energy transfer (FRET) analysis to fully unfolded staphylococcal nuclease. Artificial amino acids labeled with a FRET donor or acceptor were introduced by an amber codon and a four-base codon respectively. Eight double-labeled proteins were prepared, purified, and subjected to FRET analysis in 6 M urea. The observed behavior could be explained by a power law, R = αN

Indexed as

Denatured structureFRETProteinRandom coilStaphylococcal nuclease

Identifiers

PMID29178080
PMCPMC5899696

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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.