Evidence map›Paper›PMID 17158570›Full record

ArticleBiophysical journal2007

On the characterization of protein native state ensembles.

Amarda Shehu, Lydia E Kavraki, Cecilia Clementi

Abstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Sparse estimation for structural variability.Algorithms for molecular biology : AMB · 2011
    Article
  11. Ensemble-based methods for describing protein dynamics.Current opinion in pharmacology · 2010
    Review
  12. Tracing conformational changes in proteins.BMC structural biology · 2010
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Unfolding the fold of cyclic cysteine-rich peptides.Protein science : a publication of the Protein Society · 2008
    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.

Amarda ShehuDepartments of Computer Science, Bioengineering, and Chemistry, Rice University, Houston, Texas, USA.
Lydia E Kavraki
Cecilia Clementi

Funding

NANOBIOLOGY INSTITUTIONAL TRAINING GRANT(RMI)R90DK071504 · NIDDK · UNIVERSITY OF HOUSTON · PI PETTITT, BERNARD MONTGOMERY · 2004 to 2008
$1.3M
Dimensionality Reduction and Search for Analyzing Protein StructureR01GM078988 · NIGMS · RICE UNIVERSITY · PI KAVRAKI, LYDIA E. · 2006 to 2009
$718k
NIDDK NIH HHS R90 DK071504NIGMS NIH HHS R01 GM078988
6 · The paper itself

Abstract

Describing and understanding the biological function of a protein requires a detailed structural and thermodynamic description of the protein's native state ensemble. Obtaining such a description often involves characterizing equilibrium fluctuations that occur beyond the nanosecond timescale. Capturing such fluctuations remains nontrivial even for very long molecular dynamics and Monte Carlo simulations. We propose a novel multiscale computational method to exhaustively characterize, in atomistic detail, the protein conformations constituting the native state with no inherent timescale limitations. Applications of this method to proteins of various folds and sizes show that thermodynamic observables measured as averages over the native state ensembles obtained by the method agree remarkably well with nuclear magnetic resonance data that span multiple timescales. By characterizing equilibrium fluctuations at atomistic detail over a broad range of timescales, from picoseconds to milliseconds, our method offers to complement current simulation techniques and wet-lab experiments and can impact our understanding and description of the relationship between protein flexibility and function.

Indexed as

Models, MolecularThermodynamicsAmino AcidsHydrogen BondingProtein ConformationProteinssrc Homology DomainsAmino Acidseglin proteinase inhibitorsProteins

Identifiers

PMID17158570
PMCPMC1796840

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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.