Evidence map›Paper›PMID 19289204›Full record

ArticleMethods in enzymology2009

Analysis of repeat-protein folding using nearest-neighbor statistical mechanical models.

Tural Aksel, Doug Barrick

Abstract read
In one paragraph

Article in Methods in enzymology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
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  9. Extreme stability in de novo-designed repeat arrays is determined by unusually stable short-range interactions.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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  18. Frustration in biomolecules.Quarterly reviews of biophysics · 2014
    Review
  19. General mechanism of two-state protein folding kinetics.Journal of the American Chemical Society · 2014
    Article
  20. 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.

Tural AkselT. C. Jenkins Department of Biophysics, The Johns Hopkins University, Baltimore, Maryland, USA.
Doug Barrick

Funding

REPEAT-PROTEINS;STABILITY, FOLDING KINETICS &EVOLUTIONR01GM068462 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BARRICK, DOUGLAS E. · 2005 to 2025
$6.3M
NIGMS NIH HHS R01 GM068462NIGMS NIH HHS R01GM068462
6 · The paper itself

Abstract

The linear "Ising" model, which has been around for nearly a century, treats the behavior of linear arrays of repetitive, interacting subunits. Linear "repeat-proteins" have only been described in the last decade or so, and their folding energies have only been characterized very recently. Owing to their repetitive structures, linear repeat-proteins are particularly well suited for analysis by the nearest-neighbor Ising formalism. After briefly describing the historical origins and applications of the Ising model to biopolymers, and introducing repeat protein structure, this chapter will focus on the application of the linear Ising model to repeat proteins. When applied to homopolymers, the model can be represented and applied in a fairly simplified form. When applied to heteropolymers, where differences in energies among individual subunits (i.e. repeats) must be included, some (but not all) of this simplicity is lost. Derivations of the linear Ising model for both homopolymer and heteropolymer repeat-proteins will be presented. With the increased complexity required for analysis of heteropolymeric repeat proteins, the ability to resolve different energy terms from experimental data can be compromised. Thus, a simple matrix approach will be developed to help inform on the degree to which different thermodynamic parameters can be extracted from a particular set of unfolding curves. Finally, we will describe the application of these models to analyze repeat-protein folding equilibria, focusing on simplified repeat proteins based on "consensus" sequence information.

Indexed as

Models, MolecularProtein FoldingAnimalsLinear ModelsPeptidesPolymersProteinsPeptidesPolymersProteins

Identifiers

PMID19289204
PMCPMC2967780

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Registered trials

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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.