Evidence map›Paper›PMID 23266569›Full record

ReviewArchives of biochemistry and biophysics2013

Using simulations to provide the framework for experimental protein folding studies.

Bruno Rizzuti, Valerie Daggett

Abstract readReview
In one paragraph

Review in Archives of biochemistry and biophysics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The Cyanobacterial Ribosomal-Associated Protein LrtA fromInternational journal of molecular sciences · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Bruno RizzutiCNR-IPCF, LiCryL and CEMIF.Cal, University of Calabria, Ponte Bucci 31C, 87036 Rende, Italy. bruno.rizzuti@cnr.it
Valerie Daggett

Funding

MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR01GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 2000 to 2014
$3.9M
MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR29GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 1995 to 1999
–
NIGMS NIH HHS GM 50789NIGMS NIH HHS R01 GM050789NIGMS NIH HHS R29 GM050789
6 · The paper itself

Abstract

Molecular dynamics simulations are a powerful theoretical tool to model the protein folding process in atomistic details under realistic conditions. Combined with a number of experimental techniques, simulations provide a detailed picture of how a protein folds or unfolds in the presence of explicit solvent and other molecular species, such as cosolvents, osmolytes, cofactors, active binding partners or inert crowding agents. The denaturing effects of temperature, pressure and external mechanical forces can also be probed. Qualitative and quantitative agreement with experiment contributes to a comprehensive molecular picture of protein states along the folding/unfolding pathway. The variety of systems examined reveals key features of the protein folding process.

Indexed as

Molecular Dynamics SimulationProtein FoldingModels, MolecularPressureProtein BindingProteinsTemperatureProteins

Identifiers

PMID23266569
PMCPMC4084838

What OpenQuestion holds

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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.