Evidence map›Paper›PMID 23914257›Full record

ArticleBiophysical reviews2013

Computer Simulations of the Bacterial Cytoplasm.

Tamara Frembgen-Kesner, Adrian H Elcock

Abstract read
In one paragraph

Article in Biophysical reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Building Structural Models of a Whole Mycoplasma Cell.Journal of molecular biology · 2022
    Article
  6. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
  7. Whole-Cell Models and Simulations in Molecular Detail.Annual review of cell and developmental biology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Physicochemical code for quinary protein interactions inProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Review
  13. Protein charge determination and implications for interactions in cell extracts.Protein science : a publication of the Protein Society · 2017
    Article
  14. Multiscale simulation of molecular processes in cellular environments.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Review
  15. Review
  16. Thermodynamics of protein destabilization in live cells.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Article
  18. Article
  19. Review
  20. Review
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

2 authors.

Tamara Frembgen-KesnerDepartment of Biochemistry, The University of Iowa Iowa City, Iowa, USA 52242-8569.
Adrian H Elcock

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 R01 GM087290
6 · The paper itself

Abstract

Ever since the pioneering work of Minton, it has been recognized that the highly crowded interior of biological cells has the potential to cause dramatic changes to both the kinetics and thermodynamics of protein folding and association events relative to behavior that might be observed in dilute solution conditions. One very productive way to explore the effects of crowding on protein behavior has been to use macromolecular crowding agents that exclude volume without otherwise strongly interacting with the protein under study. An alternative, complementary approach to understanding the potential differences between behavior

Indexed as

bacterial cytoplasmcomputer simulationenergetic interactionshydrodynamic interactionsmacromolecular crowding

Identifiers

PMID23914257
PMCPMC3728174

What OpenQuestion holds

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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.