Evidence map›Paper›PMID 20149797›Full record

ArticleJournal of molecular biology2010

Protein folding requires crowd control in a simulated cell.

Benjamin R Jefferys, Lawrence A Kelley, Michael J E Sternberg

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

38 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
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  4. Bioinformatic Approach of B and T Cell Epitopes of PLD and CP40 Proteins ofInternational journal of molecular sciences · 2023
    Article
  5. VInternational journal of molecular sciences · 2022
    Review
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  16. BioMed research international · 2019
    Article
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  19. Review
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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

3 authors at 1 institution in 1 country.

Benjamin R JefferysDivision of Molecular Biosciences, Biochemistry Building, Imperial College London, South Kensington, London SW7 2AZ, UK. benjamin.jefferys@imperial.ac.uk
Lawrence A Kelley
Michael J E Sternberg
Imperial College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/D524508/1Biotechnology and Biological Sciences Research Council BB/G003912/1Wellcome Trust
6 · The paper itself

Abstract

Macromolecular crowding has a profound effect upon biochemical processes in the cell. We have computationally studied the effect of crowding upon protein folding for 12 small domains in a simulated cell using a coarse-grained protein model, which is based upon Langevin dynamics, designed to unify the often disjoint goals of protein folding simulation and structure prediction. The model can make predictions of native conformation with accuracy comparable with that of the best current template-free models. It is fast enough to enable a more extensive analysis of crowding than previously attempted, studying several proteins at many crowding levels and further random repetitions designed to more closely approximate the ensemble of conformations. We found that when crowding approaches 40% excluded volume, the maximum level found in the cell, proteins fold to fewer native-like states. Notably, when crowding is increased beyond this level, there is a sudden failure of protein folding: proteins fix upon a structure more quickly and become trapped in extended conformations. These results suggest that the ability of small protein domains to fold without the help of chaperones may be an important factor in limiting the degree of macromolecular crowding in the cell. Here, we discuss the possible implications regarding the relationship between protein expression level, protein size, chaperone activity and aggregation.

Indexed as

Computer SimulationProtein FoldingCellsCell SizeModels, BiologicalMolecular ChaperonesMolecular WeightMolecular Chaperones

Identifiers

PMID20149797
PMCPMC2891488
OpenAlexW1977157584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.