Evidence map›Paper›PMID 23260050›Full record

ArticleBiophysical journal2012

Role of nonspecific interactions in molecular chaperones through model-based bioinformatics.

Andrew D White, Wenjun Huang, Shaoyi Jiang

Abstract read
In one paragraph

Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Serverless Prediction of Peptide Properties with Recurrent Neural Networks.Journal of chemical information and modeling · 2023
    Article
  4. 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

3 authors.

Andrew D WhiteDepartment of Chemical Engineering, University of Washington, Seattle, Washington, USA.
Wenjun Huang
Shaoyi Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular chaperones are large proteins or protein complexes from which many proteins require assistance in order to fold. One unique property of molecular chaperones is the cavity they provide in which proteins fold. The interior surface residues which make up the cavities of molecular chaperone complexes from different organisms has recently been identified, including the well-studied GroEL-GroES chaperonin complex found in Escherichia coli. It was found that the interior of these protein complexes is significantly different than other protein surfaces and that the residues found on the protein surface are able to resist protein adsorption when immobilized on a surface. Yet it remains unknown if these residues passively resist protein binding inside GroEL-GroEs (as demonstrated by experiments that created synthetic mimics of the interior cavity) or if the interior also actively stabilizes protein folding. To answer this question, we have extended entropic models of substrate protein folding inside GroEL-GroES to include interaction energies between substrate proteins and the GroEL-GroES chaperone complex. This model was tested on a set of 528 proteins and the results qualitatively match experimental observations. The interior residues were found to strongly discourage the exposure of any hydrophobic residues, providing an enhanced hydrophobic effect inside the cavity that actively influences protein folding. This work provides both a mechanism for active protein stabilization in GroEL-GroES and a model that matches contemporary understanding of the chaperone protein.

Indexed as

Models, BiologicalChaperonin 10Chaperonin 60Computational BiologyEscherichia coli ProteinsProtein BindingProtein FoldingThermodynamicsChaperonin 10Chaperonin 60Escherichia coli Proteins

Identifiers

PMID23260050
PMCPMC3525852

What OpenQuestion holds

Textmetadata
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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.