Evidence map›Paper›PMID 20028088›Full record

ArticleJournal of the American Chemical Society2010

Phi-value analysis for ultrafast folding proteins by NMR relaxation dispersion.

Jae-Hyun Cho, Nichole O'Connell, Daniel P Raleigh, Arthur G Palmer

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A dynamic look backward and forward.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016
    Review
  7. Article
  8. Fast protein folding kinetics.Quarterly reviews of biophysics · 2014
    Review
  9. Chemical exchange in biomacromolecules: past, present, and future.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014
    Review
  10. Article
  11. Article
  12. Article
  13. The folding of single domain proteins--have we reached a consensus?Current opinion in structural biology · 2011
    Review
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.

Jae-Hyun ChoDepartment of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, New York, New York 10032, USA.
Nichole O'Connell
Daniel P Raleigh
Arthur G Palmer

Funding

PROTEIN MOTIONS IN RECOGNITION, REGULATION AND CATALYSISR01GM059273 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PALMER, ARTHUR G · 1999 to 2018
$5.7M
NIGMS NIH HHS GM59273NIGMS NIH HHS R01 GM059273
6 · The paper itself

Abstract

Proteins that fold rapidly, on the (sub-) microsecond time scale, offer the prospect of direct comparison between experimental data and molecular dynamics simulations. However, experimental studies for such proteins frequently are hindered because folding rates are too fast to measure using conventional stopped-flow methods. To overcome this impediment, NMR spin relaxation dispersion experiments are used to quantify mutational effects on kinetics (DeltaDeltaG(o)), stability (DeltaDeltaG(o)), and phi-values (DeltaDeltaG(dagger)/DeltaDeltaG(o)) for proteins exhibiting chemical exchange line broadening that is fast on the NMR chemical shift time scale. The accuracy of phi-value analysis is enhanced because mutational effects on denatured or intermediate states can be detected through changes in line broadening. The transition and intermediate states of the villin headpiece domain, HP67, are characterized in varying solvent conditions to validate the method.

Indexed as

Magnetic Resonance SpectroscopyProtein FoldingProteinsThermodynamicsProteins

Identifiers

PMID20028088
PMCPMC2860800

What OpenQuestion holds

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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.