Evidence map›Paper›PMID 32612811›Full record

ArticleRSC advances2020

Ruth Chan, Michael Falato, Huiyun Liang, Liao Y Chen

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Methods for studying mammalian aquaporin biology.Biology methods & protocols · 2023
    Review
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Ruth ChanDepartment of Physics, The University of Texas at San Antonio, San Antonio, Texas 78249 USA.
Michael FalatoDepartment of Physics, The University of Texas at San Antonio, San Antonio, Texas 78249 USA.
Huiyun LiangDepartment of Physics, The University of Texas at San Antonio, San Antonio, Texas 78249 USA.
Liao Y ChenDepartment of Physics, The University of Texas at San Antonio, San Antonio, Texas 78249 USA.
The University of Texas at San Antonio · USThe University of Texas Health Science Center at San Antonio · US

Funding

Quantitatively predictive biology of aquaporins 1, 5, and GlpFSC1GM121275 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI CHEN, LIAO Y · 2017 to 2020
$1.4M
NIGMS NIH HHS SC1 GM121275
6 · The paper itself

Abstract

Modelling water and membrane lipids is an essential element in the computational research of biophysical/biochemical processes such as water transport across the cell membrane. In this study, we examined the accuracies of two popular water models, TIP3P and TIP4P, in the molecular dynamics simulations of erythrocyte aquaporins (AQP1 and AQP3). We modelled the erythrocyte membrane as an asymmetric lipid bilayer with appropriate lipid compositions of its inner and outer leaflet, in comparison with a symmetric lipid bilayer of a single lipid type. We computed the AQP1/3 permeabilities with the transition state theory with full correction for recrossing events. We also conducted cell swelling assays for water transport across the erythrocyte membrane. The experimental results agree with the TIP3P water-erythrocyte membrane model, in confirmation of the expected accuracy of the erythrocyte membrane model, the TIP3P water model, and the CHARMM parameters for water-protein interactions.

Indexed as

AquaporinCell MembraneMolecular Dynamics SimulationPermeabilityTransport

Identifiers

PMID32612811
PMCPMC7328926
OpenAlexW3033645245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.