Evidence map›Paper›PMID 24604024›Full record

ArticlePhysical chemistry chemical physics : PCCP2014

NMR mapping of protein conformational landscapes using coordinated behavior of chemical shifts upon ligand binding.

Alessandro Cembran, Jonggul Kim, Jiali Gao, Gianluigi Veglia

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  9. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Binding mechanism and dynamic conformational change of C subunit of PKA with different pathways.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Review
  16. Article
  17. Article
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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.

Alessandro CembranDepartment of Biochemistry, Biophysics & Molecular Biology, University of Minnesota, 6-155 Jackson Hall, MN 55455, USA. vegli001@umn.edu.
Jonggul Kim
Jiali Gao
Gianluigi Veglia

Funding

BIOMOLECULAR INTERACTIONS AND ENZYMATIC PROCESSESR01GM046736 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JIALI GAO · 1993 to 2026
$6.5M
Mapping Allosteric Cooperativity in Protein KinasesR01GM100310 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2012 to 2019
$4.3M
Structural Basis Of Dilated CardiomyopathyR01GM072701 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2007 to 2015
$2.4M
T-CELL RECOGNITION USING SOLUBLE RECEPTORSR01GM046367 · NIGMS · YALE UNIVERSITY · PI BOTHWELL, ALFRED LM · 1993 to 1999
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NIGMS NIH HHS GM100310NIGMS NIH HHS GM46367NIGMS NIH HHS GM72701NIGMS NIH HHS R01 GM046736NIGMS NIH HHS R01 GM072701NIGMS NIH HHS R01 GM100310
6 · The paper itself

Abstract

Proteins exist as an ensemble of conformers that are distributed on free energy landscapes resembling folding funnels. While the most stable conformers populate low energy basins, protein function is often carried out through low-populated conformational states that occupy high energy basins. Ligand binding shifts the populations of these states, changing the distribution of these conformers. Understanding how the equilibrium among the states is altered upon ligand binding, interaction with other binding partners, and/or mutations and post-translational modifications is of critical importance for explaining allosteric signaling in proteins. Here, we propose a statistical analysis of the linear trajectories of NMR chemical shifts (CONCISE, COordiNated ChemIcal Shifts bEhavior) for the interpretation of protein conformational equilibria. CONCISE enables one to quantitatively measure the population shifts associated with ligand titrations and estimate the degree of collectiveness of the protein residues' response to ligand binding, giving a concise view of the structural transitions. The combination of CONCISE with thermocalorimetric and kinetic data allows one to depict a protein's approximate conformational energy landscape. We tested this method with the catalytic subunit of cAMP-dependent protein kinase A, a ubiquitous enzyme that undergoes conformational transitions upon both nucleotide and pseudo-substrate binding. When complemented with chemical shift covariance analysis (CHESCA), this new method offers both collective response and residue-specific correlations for ligand binding to proteins.

Indexed as

LigandsNuclear Magnetic Resonance, BiomolecularAdenosine TriphosphateAnalysis of VarianceCyclic AMP-Dependent Protein KinasesPrincipal Component AnalysisProtein BindingProtein Structure, TertiaryAdenosine TriphosphateCyclic AMP-Dependent Protein KinasesLigands

Identifiers

PMID24604024
PMCPMC4117682

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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.