Evidence map›Paper›PMID 20513412›Full record

ArticleBiophysical journal2010

A comprehensive multidimensional-embedded, one-dimensional reaction coordinate for protein unfolding/folding.

Rudesh D Toofanny, Amanda L Jonsson, Valerie Daggett

Abstract readValidation Study
In one paragraph

Article in Biophysical journal, 2010. 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. Article
  3. Article
  4. Article
  5. Multimolecule test-tube simulations of protein unfolding and aggregation.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  6. Article
  7. Article
  8. Article
  9. Malleability of folding intermediates in the homeodomain superfamily.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  10. Protein folds and protein folding.Protein engineering, design & selection : PEDS · 2011
    Review
  11. Article
  12. Dynameomics: a comprehensive database of protein dynamics.Structure (London, England : 1993) · 2010
    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

3 authors.

Rudesh D ToofannyDepartment of Bioengineering, University of Washington, Seattle, Washington, USA.
Amanda L Jonsson
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

The goal of the Dynameomics project is to perform, store, and analyze molecular dynamics simulations of representative proteins, of all known globular folds, in their native state and along their unfolding pathways. To analyze unfolding simulations, the location of the protein along the unfolding reaction coordinate (RXN) must be determined. Properties such as the fraction of native contacts and radius of gyration are often used; however, there is an issue regarding degeneracy with these properties, as native and nonnative species can overlap. Here, we used 15 physical properties of the protein to construct a multidimensional-embedded, one-dimensional RXN coordinate that faithfully captures the complex nature of unfolding. The unfolding RXN coordinates for 188 proteins (1534 simulations and 22.9 mus in explicit water) were calculated. Native, transition, intermediate, and denatured states were readily identified with the use of this RXN coordinate. A global native ensemble based on the native-state properties of the 188 proteins was created. This ensemble was shown to be effective for calculating RXN coordinates for folds outside the initial 188 targets. These RXN coordinates enable, high-throughput assignment of conformational states, which represents an important step in comparing protein properties across fold space as well as characterizing the unfolding of individual proteins.

Indexed as

Databases, ProteinMolecular Dynamics SimulationProtein FoldingPrincipal Component AnalysisProtein ConformationProtein DenaturationProteinsWaterProteinsWater

Identifiers

PMID20513412
PMCPMC2877366

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.