Evidence map›Paper›PMID 18616947›Full record

ArticleJournal of molecular biology2008

Denatured-state energy landscapes of a protein structural database reveal the energetic determinants of a framework model for folding.

Suwei Wang, Jenny Gu, Scott A Larson, Steven T Whitten, Vincent J Hilser

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Hidden dynamic signatures drive substrate selectivity in the disordered phosphoproteome.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
  9. Article
  10. Residual structure in unfolded proteins.Current opinion in structural biology · 2012
    Review
  11. Ensemble-based methods for describing protein dynamics.Current opinion in pharmacology · 2010
    Review
  12. Denatured states of low-complexity polypeptide sequences differ dramatically from those of foldable sequences.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  13. Article
  14. Article
  15. Article
  16. Energetic profiling of protein folds.Methods in enzymology · 2009
    Article
  17. 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

5 authors at 1 institution in 1 country.

Suwei WangDepartment of Biochemistry and Molecular Biology and Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555, USA.
Jenny Gu
Scott A Larson
Steven T Whitten
Vincent J Hilser
The University of Texas Medical Branch at Galveston · US

Funding

Thermodynamics of Protein FluctuationsR01GM063747 · NIGMS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI HILSER, VINCENT J. · 2001 to 2023
$7.9M
NIGMS NIH HHS R01 GM063747
6 · The paper itself

Abstract

Position-specific denatured-state thermodynamics were determined for a database of human proteins by use of an ensemble-based model of protein structure. The results of modeling denatured protein in this manner reveal important sequence-dependent thermodynamic properties in the denatured ensembles as well as fundamental differences between the denatured and native ensembles in overall thermodynamic character. The generality and robustness of these results were validated by performing fold-recognition experiments, whereby sequences were matched with their respective folds based on amino acid propensities for the different energetic environments in the protein, as determined through cluster analysis. Correlation analysis between structure and energetic information revealed that sequence segments destined for beta-sheet in the final native fold are energetically more predisposed to a broader repertoire of states than are sequence segments destined for alpha-helix. These results suggest that within the subensemble of mostly unstructured states, the energy landscapes are dominated by states in which parts of helices adopt structure, whereas structure formation for sequences destined for beta-strand is far less probable. These results support a framework model of folding, which suggests that, in general, the denatured state has evolutionarily evolved to avoid low-energy conformations in sequences that ultimately adopt beta-strand. Instead, the denatured state evolved so that sequence segments that ultimately adopt alpha-helix and coil will have a high intrinsic structure formation capability, thus serving as potential nucleation sites.

Indexed as

Databases, ProteinModels, MolecularProtein DenaturationProtein FoldingAlgorithmsAmino AcidsAmino Acid SequenceHumansMolecular Sequence DataProteinsProtein Structure, SecondarySequence AlignmentThermodynamicsAmino AcidsProteins

Identifiers

PMID18616947
PMCPMC6583914
OpenAlexW2053921361

What OpenQuestion holds

Textmetadata
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.