Evidence map›Paper›PMID 24316402›Full record

ArticleStructure (London, England : 1993)2014

Computing the relative stabilities and the per-residue components in protein conformational changes.

Arijit Roy, Alberto Perez, Ken A Dill, Justin L Maccallum

Open access · bronzeAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2014. 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
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Illuminating the "Twilight Zone": Advances in Difficult Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Allosterism and signal transfer in DNA.Nucleic acids research · 2018
    Article
  7. Article
  8. Article
  9. Review
  10. Residue-level global and local ensemble-ensemble comparisons of protein domains.Protein science : a publication of the Protein Society · 2015
    Article
  11. Biophysics of protein evolution and evolutionary protein biophysics.Journal of the Royal Society, Interface · 2014
    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

4 authors at 1 institution in 1 country.

Arijit RoyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.
Alberto PerezLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA; Department of Physics, Stony Brook University, Stony Brook, NY 11794, USA; Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, USA. Electronic address: dill@laufercenter.org.
Justin L MaccallumLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.
Stony Brook University · US

Funding

COMBINATORIAL STATISTICAL MECHANICS OF PROTEIN FOLDINGR01GM034993 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 1985 to 2009
$2.7M
NIGMS NIH HHS GM34993NIGMS NIH HHS R01 GM034993
6 · The paper itself

Abstract

Protein molecules often undergo conformational changes. In order to gain insights into the forces that drive such changes, it would be useful to have a method that computes the per-residue contributions to the conversion free energy. Here, we describe the "confine-convert-release" (CCR) method, which is applicable to large conformational changes. We show that CCR correctly predicts the stable states of several "chameleon" sequences that have previously been challenging for molecular simulations. CCR can often discriminate better from worse predictions of native protein models in critical assessment of protein structure prediction (CASP). We show how the total conversion free energies can be parsed into per-residue free-energy components. Such parsing gives insights into which amino acids are most responsible for given transformations. For example, here we are able to "reverse-engineer" the known design principles of the chameleon proteins. This opens up the possibility for systematic improvements in structure-prediction scoring functions, in the design of protein conformational switches, and in interpreting protein mechanisms at the amino-acid level.

Indexed as

AlgorithmsModels, MolecularAmino AcidsComputer SimulationGenes, SyntheticOligopeptidesProteinsProtein StabilityProtein Structure, SecondaryProtein Structure, TertiaryThermodynamicsAmino Acidschameleon alpha protein, syntheticchameleon beta protein, syntheticOligopeptidesProteins

Identifiers

PMID24316402
PMCPMC3905753
OpenAlexW2094597106

What OpenQuestion holds

Textmetadata
LicenceTDM
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.