Evidence map›Paper›PMID 26627239›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Effects of confinement on models of intracellular macromolecular dynamics.

Edmond Chow, Jeffrey Skolnick

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Docking-based long timescale simulation of cell-size protein systems at atomic resolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
  5. Article
  6. Clustering and dynamics of crowded proteins near membranes and their influence on membrane bending.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

2 authors at 2 institutions in 1 country.

Edmond ChowSchool of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332; echow@cc.gatech.edu.
Jeffrey SkolnickCenter for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332.
Center for Systems Biology · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The motions of particles in a viscous fluid confined within a spherical cell have been simulated using Brownian and Stokesian dynamics simulations. High volume fractions mimicking the crowded interior of biological cells were used. Importantly, although confinement yields an overall slowdown in motion, the qualitative effects of motion in the interior of the cell can be effectively modeled as if the system were an infinite periodic system. However, we observe layering of particles at the cell wall due to steric interactions in the confined space. Motions of nearby particles are also strongly correlated at the cell wall, and these correlations increase when hydrodynamic interactions are modeled. Further, particles near the cell wall have a tendency to remain near the cell wall. A consequence of these effects is that the mean contact time between particles is longer at the cell wall than in the interior of the cell. These findings identify a specific way that confinement affects the interactions between particles and points to a previously unidentified mechanism that may play a role in signal transduction and other processes near the membrane of biological cells.

Indexed as

Computer SimulationModels, BiologicalAnimalsBiological Transport, ActiveCytoplasmHumansBrownian dynamicscell wallconfinementhydrodynamic interactionsStokesian dynamics

Identifiers

PMID26627239
PMCPMC4672785
OpenAlexW2173709803

What OpenQuestion holds

Textmetadata
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.