Evidence map›Paper›PMID 35400283›Full record

ArticleCell cycle (Georgetown, Tex.)2022

From Alpha to Beta - a co-translational way to fold?

Anton A Komar

Open access · bronzeAbstract readComment
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2022. 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
0.2field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Anton A KomarCenter for Gene Regulation in Health and Disease and Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, Ohio USA.
Cleveland Clinic Lerner College of Medicine · US

Funding

Safer and more effective FIX therapeutics: impact of codon optimizationR01HL151392 · NHLBI · CLEVELAND STATE UNIVERSITY · PI KOMAR, ANTON A. · 2020 to 2023
$1.5M
eIF2A in translational controlR01GM128981 · NIGMS · CLEVELAND STATE UNIVERSITY · PI KOMAR, ANTON A. · 2020 to 2023
$1.2M
A Digital Laser Scanner Biomolecular Imaging System: Amersham Typhoon 5S10OD025252 · OD · CLEVELAND STATE UNIVERSITY · PI LI, BIBO · 2018 to 2018
$163k
NHLBI NIH HHS R01 HL151392NIGMS NIH HHS R01 GM128981NIH HHS S10 OD025252
6 · The paper itself

Abstract

Protein folding in the cell is largely a co-translational process occurring during protein synthesis on the ribosome. It has become evident that co-translational folding is characteristic to almost every protein in the cell of pro- and eukaryotic origin that are single and multidomain, single and multisubunit, cytosolic, secretory and membrane. Co-translational protein folding begins very early during the process of polypeptide chain synthesis on the ribosome, with some secondary structure elements forming inside the ribosomal tunnel and some tertiary structures forming inside the vestibule (lower/wider) region of the ribosomal exit tunnel. However, many details of co-translational folding remains incompletely understood. New data show that folding of a β-barrel protein begins with formation of an α-helix inside the ribosome that rearranges into a β-hairpin structure as the growing peptide reaches the wider/vestibule region of the exit tunnel. While it was previously suggested that such scenario can take place on the ribosome, the new data provide the first experimental evidence in support of this notion.

Indexed as

Protein FoldingRibosomesPeptidesProtein BiosynthesisProtein Structure, SecondaryPeptidesCo-translational foldingribosomal tunnelstructural interconversionα-helixβ-barrel protein

Identifiers

PMID35400283
PMCPMC9302521
OpenAlexW4223620314

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.