Evidence map›Paper›PMID 20167475›Full record

ReviewCurrent opinion in structural biology2010

Models of macromolecular crowding effects and the need for quantitative comparisons with experiment.

Adrian H Elcock

Abstract readComparative StudyReview
In one paragraph

Review in Current opinion in structural biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

120 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Role of Aqueous Media in Macromolecular Crowding.Sub-cellular biochemistry · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Ultrafast Spectroscopy Reveals Slow Water Dynamics in Biocondensates.Journal of the American Chemical Society · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Insights into Protein Stability in Cell Lysate byChembiochem : a European journal of chemical biology · 2020
    Article

60 more citing papers are in PubMed but not listed here.

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

1 author.

Adrian H ElcockDepartment of Biochemistry, University of Iowa, Iowa City, IA 52242, USA. adrian-elcock@uiowa.edu

Funding

Molecular Simulations of Folding & Association in Physiological EnvironmentsR01GM087290 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2009 to 2017
$1.6M
NIGMS NIH HHS GM087290NIGMS NIH HHS R01 GM087290
6 · The paper itself

Abstract

In recent years significant effort has been devoted to exploring the potential effects of macromolecular crowding on protein folding and association phenomena. Theoretical calculations and molecular simulations have, in particular, been exploited to describe aspects of protein behavior in crowded and confined conditions and many aspects of the simulated behavior have reflected, at least at a qualitative level, the behavior observed in experiments. One major and immediate challenge for the theorists is to now produce models capable of making quantitatively accurate predictions of in vitro behavior. A second challenge is to derive models that explain results obtained from experiments performed in vivo, the results of which appear to call into question the assumed dominance of excluded-volume effects in vivo.

Indexed as

AnimalsHumansProtein ConformationProtein FoldingProteinsThermodynamicsProteins

Identifiers

PMID20167475
PMCPMC2854290

What OpenQuestion holds

Textmetadata
LicenceTDM
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.