Evidence map›Paper›PMID 27410731›Full record

ArticleBiophysical journal2016

Protein Composition Determines the Effect of Crowding on the Properties of Disordered Proteins.

Cayla M Miller, Young C Kim, Jeetain Mittal

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A coarse-grained model for disordered proteins under crowded conditions.Protein science : a publication of the Protein Society · 2025
    Article
  5. PEG-mCherry interactions beyond classical macromolecular crowding.Protein science : a publication of the Protein Society · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Depletion interactions modulate the binding between disordered proteins in crowded environments.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Review
  18. Article
  19. Modeling Crowded Environment in Molecular Simulations.Frontiers in molecular biosciences · 2019
    Review
  20. 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.

Cayla M MillerDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania.
Young C KimCenter for Computational Materials Science, Naval Research Laboratory, Washington, D.C.
Jeetain MittalDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, Pennsylvania. Electronic address: jeetain@lehigh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlike dilute experimental conditions under which biological molecules are typically characterized, the cell interior is crowded by macromolecules, which affects both the thermodynamics and kinetics of in vivo processes. Although the excluded-volume effects of macromolecular crowding are expected to cause compaction of unfolded and disordered proteins, the extent of this effect is uncertain. We use a coarse-grained model to represent proteins with varying sequence content and directly observe changes in chain dimensions in the presence of purely repulsive spherical crowders. We find that the extent of crowding-induced compaction is dependent not only on crowder size and concentration, but also on the properties of the protein itself. In fact, we observe a nonmonotonic trend between the dimensions of the polypeptide chain in bulk and the degree of compaction: the most extended chains experience up to 24% compaction, the most compact chains show virtually no change, and intermediate chains compress by up to 40% in size at a 40% crowder volume fraction. Free-volume theory combined with an impenetrable ellipsoidal representation of the chains predicts the crowding effects only for collapsed protein chains. An additional scaling factor, which can be easily computed from protein-crowder potential of mean force, corrects for the penetrability of extended chains and is sufficient to capture the observed nonmonotonic trend in compaction.

Indexed as

Models, MolecularIntrinsically Disordered ProteinsProtein ConformationIntrinsically Disordered Proteins

Identifiers

PMID27410731
PMCPMC4944663

What OpenQuestion holds

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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.