Evidence map›Paper›PMID 29267316›Full record

ArticlePloS one2017

Detecting protein folding by thermal fluctuations of microcantilevers.

Romina Muñoz, Felipe Aguilar-Sandoval, Ludovic Bellon, Francisco Melo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 3 institutions in 2 countries.

Romina MuñozDepartamento de Física, Facultad de Ciencia, Universidad de Santiago de Chile, Santiago, Chile.ORCID 0000-0002-3159-9920
Felipe Aguilar-SandovalDepartamento de Física, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile.
Ludovic BellonLaboratoire de Physique, ENS de Lyon, Univ Claude Bernard Lyon 1, Univ Lyon, CNRS, Lyon, France.
Francisco MeloDepartamento de Física, Facultad de Ciencia, Universidad de Santiago de Chile, Santiago, Chile.
Universidad de Santiago de Chile · CLUniversité Claude Bernard Lyon 1 · FRUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate characterization of proteins in both their native and denatured states is essential to effectively understand protein function, folding and stability. As a proof of concept, a micro rheological method is applied, based on the characterization of thermal fluctuations of a micro cantilever immersed in a bovine serum albumin solution, to assess changes in the viscosity associated with modifications in the protein's structure under the denaturant effect of urea. Through modeling the power spectrum density of the cantilever's fluctuations over a broad frequency band, it is possible to implement a fitting procedure to accurately determine the viscosity of the fluid, even at low volumes. Increases in viscosity during the denaturant process are identified using the assumption that the protein is a hard sphere, with a hydrodynamic radius that increases during unfolding. This is modeled accordingly through the Einstein-Batchelor formula. The Einstein-Batchelor formula estimates are verified through dynamic light scattering, which measures the hydrodynamic radius of proteins. Thus, this methodology is proven to be suitable for the study of protein folding in samples of small size at vanishing shear stresses.

Indexed as

Protein FoldingModels, TheoreticalRheologySerum Albumin, BovineTemperatureViscositySerum Albumin, Bovine

Identifiers

PMID29267316
PMCPMC5739453
OpenAlexW2781034821

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.