Evidence map›Paper›PMID 21595998›Full record

ArticleBMC biophysics2011

Diffusion in crowded biological environments: applications of Brownian dynamics.

Maciej Długosz, Joanna Trylska

Abstract read
In one paragraph

Article in BMC biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
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  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Modeling Crowded Environment in Molecular Simulations.Frontiers in molecular biosciences · 2019
    Review
  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.

Maciej DługoszInterdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, Żwirki i Wigury 93, 02-089 Warsaw, Poland. M.Dlugosz@icm.edu.pl.
Joanna Trylska

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemical reactions in living systems occur in complex, heterogeneous media with total concentrations of macromolecules in the range of 50 - 400 mgml. Molecular species occupy a significant fraction of the immersing medium, up to 40% of volume. Such complex and volume-occupied environments are generally termed 'crowded' and/or 'confined'. In crowded conditions non-specific interactions between macromolecules may hinder diffusion - a major process determining metabolism, transport, and signaling. Also, the crowded media can alter, both qualitatively and quantitatively, the reactions in vivo in comparison with their in vitro counterparts. This review focuses on recent developments in particle-based Brownian dynamics algorithms, their applications to model diffusive transport in crowded systems, and their abilities to reproduce and predict the behavior of macromolecules under in vivo conditions.

Identifiers

PMID21595998
PMCPMC3093676

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.