Evidence map›Paper›PMID 24209851›Full record

ArticleBiophysical journal2013

Anomalous versus slowed-down Brownian diffusion in the ligand-binding equilibrium.

Hédi Soula, Bertrand Caré, Guillaume Beslon, Hugues Berry

Abstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Stochastic scattering model of anomalous diffusion in arrays of steady vortices.Proceedings. Mathematical, physical, and engineering sciences · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. MESOSCOPIC MODELING OF STOCHASTIC REACTION-DIFFUSION KINETICS IN THE SUBDIFFUSIVE REGIME.Multiscale modeling & simulation : a SIAM interdisciplinary journal · 2016
    Article
  9. Article
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  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hédi SoulaEPI Beagle, INRIA Rhône-Alpes, F-69603, Villeurbanne, France; Université de Lyon, Inserm UMR1060, CarMeN, F-69621 Villeurbanne, France. Electronic address: hedi.soula@insa-lyon.fr.
Bertrand Caré
Guillaume Beslon
Hugues Berry

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurements of protein motion in living cells and membranes consistently report transient anomalous diffusion (subdiffusion) that converges back to a Brownian motion with reduced diffusion coefficient at long times after the anomalous diffusion regime. Therefore, slowed-down Brownian motion could be considered the macroscopic limit of transient anomalous diffusion. On the other hand, membranes are also heterogeneous media in which Brownian motion may be locally slowed down due to variations in lipid composition. Here, we investigate whether both situations lead to a similar behavior for the reversible ligand-binding reaction in two dimensions. We compare the (long-time) equilibrium properties obtained with transient anomalous diffusion due to obstacle hindrance or power-law-distributed residence times (continuous-time random walks) to those obtained with space-dependent slowed-down Brownian motion. Using theoretical arguments and Monte Carlo simulations, we show that these three scenarios have distinctive effects on the apparent affinity of the reaction. Whereas continuous-time random walks decrease the apparent affinity of the reaction, locally slowed-down Brownian motion and local hindrance by obstacles both improve it. However, only in the case of slowed-down Brownian motion is the affinity maximal when the slowdown is restricted to a subregion of the available space. Hence, even at long times (equilibrium), these processes are different and exhibit irreconcilable behaviors when the area fraction of reduced mobility changes.

Indexed as

DiffusionMonte Carlo MethodMotionKineticsLigandsProteinsLigandsProteins

Identifiers

PMID24209851
PMCPMC3824720

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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.