Evidence map›Paper›PMID 26162682›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Conformational kinetics reveals affinities of protein conformational states.

Kyle G Daniels, Yang Suo, Terrence G Oas

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Ligand-induced protein transition state stabilization switches the binding pathway from conformational selection to induced fit.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Unveiling the "invisible" druggable conformations of GDP-bound inactive Ras.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Mechanisms of ligand binding.Biophysics reviews · 2020
    Review
  10. Exposing Hidden High-Affinity RNA Conformational States.Journal of the American Chemical Society · 2020
    Article
  11. A high-affinity human PD-1/PD-L2 complex informs avenues for small-molecule immune checkpoint drug discovery.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Review
  13. Article
  14. Article
  15. Exploring the structural origins of cryptic sites on proteins.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Review
  17. Article
  18. Review
  19. 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

3 authors.

Kyle G DanielsDepartment of Biochemistry, Duke University Medical Center, Durham, NC 27710.
Yang SuoDepartment of Biochemistry, Duke University Medical Center, Durham, NC 27710.
Terrence G OasDepartment of Biochemistry, Duke University Medical Center, Durham, NC 27710 oas@duke.edu.

Funding

Mechanistic Studies of Complex Protein Folding ReactionsR01GM081666 · NIGMS · DUKE UNIVERSITY · PI OAS, TERRENCE GILBERT · 2009 to 2012
$1.9M
Biophysical Studies of RNase P Protein FoldingR01GM061367 · NIGMS · DUKE UNIVERSITY · PI OAS, TERRENCE GILBERT · 2001 to 2004
$1.4M
NUCLEAR MAGNETIC RESONANCE STUDIES OF PROTEIN FOLDINGR01GM045322 · NIGMS · DUKE UNIVERSITY · PI OAS, TERRENCE GILBERT · 1997 to 2003
$1.1M
NIGMS NIH HHS R01 GM045322NIGMS NIH HHS R01 GM061367NIGMS NIH HHS R01 GM081666
6 · The paper itself

Abstract

Most biological reactions rely on interplay between binding and changes in both macromolecular structure and dynamics. Practical understanding of this interplay requires detection of critical intermediates and determination of their binding and conformational characteristics. However, many of these species are only transiently present and they have often been overlooked in mechanistic studies of reactions that couple binding to conformational change. We monitored the kinetics of ligand-induced conformational changes in a small protein using six different ligands. We analyzed the kinetic data to simultaneously determine both binding affinities for the conformational states and the rate constants of conformational change. The approach we used is sufficiently robust to determine the affinities of three conformational states and detect even modest differences in the protein's affinities for relatively similar ligands. Ligand binding favors higher-affinity conformational states by increasing forward conformational rate constants and/or decreasing reverse conformational rate constants. The amounts by which forward rate constants increase and reverse rate constants decrease are proportional to the ratio of affinities of the conformational states. We also show that both the affinity ratio and another parameter, which quantifies the changes in conformational rate constants upon ligand binding, are strong determinants of the mechanism (conformational selection and/or induced fit) of molecular recognition. Our results highlight the utility of analyzing the kinetics of conformational changes to determine affinities that cannot be determined from equilibrium experiments. Most importantly, they demonstrate an inextricable link between conformational dynamics and the binding affinities of conformational states.

Indexed as

Protein ConformationAllosteric SiteBacterial ProteinsBinding SitesCalorimetryDrug DesignKineticsLigandsMacromolecular SubstancesMagnetic Resonance SpectroscopyModels, MolecularProtein BindingProtein FoldingRibonuclease PThermodynamicsBacterial ProteinsLigandsMacromolecular SubstancesRibonuclease Pallosterybindingchangeconformationalcoupled

Identifiers

PMID26162682
PMCPMC4522757

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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.