Evidence map›Paper›PMID 22426785›Full record

ArticleJournal of biomolecular NMR2012

Conformational distributions of denatured and unstructured proteins are similar to those of 20 × 20 blocked dipeptides.

Kwang-Im Oh, Young-Sang Jung, Geum-Sook Hwang, Minhaeng Cho

Abstract read
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In one paragraph

Article in Journal of biomolecular NMR, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

8 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Kwang-Im OhDepartment of Chemistry, Korea University, Seoul 136-701, Korea.
Young-Sang Jung
Geum-Sook Hwang
Minhaeng Cho
Korea Basic Science Institute · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding intrinsic conformational preferences of amino-acids in unfolded proteins is important for elucidating the underlying principles of their stability and re-folding on biological timescales. Here, to investigate the neighbor interaction effects on the conformational propensities of amino-acids, we carried out (1)H NMR experiments for a comprehensive set of blocked dipeptides and measured the scalar coupling constants between alpha protons and amide protons as well as their chemical shifts. Detailed inspection of these NMR properties shows that, irrespective of amino-acid side-chain properties, the distributions of the measured coupling constants and chemical shifts of the dipeptides are comparatively narrow, indicating small variances of their conformation distributions. They are further compared with those of blocked amino-acids (Ac-X-NHMe), oligopeptides (Ac-GGXGG-NH(2)), and native (lysozyme), denatured (lysozyme and outer membrane protein X from Escherichia coli), unstructured (Domain 2 of the protein 5A of Hepatitis C virus), and intrinsically disordered (hNlg3cyt: intracellular domain of human NL3) proteins. These comparative investigations suggest that the conformational preferences and local solvation environments of the blocked dipeptides are quite similar to not only those of other short oligopeptides but also those of denatured and natively unfolded proteins.

Indexed as

Bacterial Outer Membrane ProteinsDipeptidesEscherichia coli ProteinsHumansHydrolasesModels, MolecularNuclear Magnetic Resonance, BiomolecularProtein ConformationProtein DenaturationProteinsProtein UnfoldingViral ProteinsBacterial Outer Membrane ProteinsDipeptidesEscherichia coli ProteinsHydrolasesOmpX protein, E coliProteinsViral Proteins

Identifiers

PMID22426785
OpenAlexW1992633374

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.