Evidence map›Paper›PMID 28510170›Full record

ReviewBiophysical reviews2015

Relaxation dispersion NMR spectroscopy for the study of protein allostery.

Patrick J Farber, Anthony Mittermaier

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Integrating NMR and contact-response analysis reveals the allosteric network driving domain closure in Enzyme I.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. NMR Studies on Protein-Ligand Interactions.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Assessing the applicability ofJournal of biomolecular NMR · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Chemical Exchange.Methods in enzymology · 2019
    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

2 authors.

Patrick J FarberMolecular Structure and Function, Hospital for Sick Children, Toronto, ON, Canada.
Anthony MittermaierDepartment of Chemistry, McGill University, 801 Sherbrooke St. W. room 322, Montreal, Quebec, Canada, H3A 0B8. anthony.mittermaier@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allosteric transmission of information between distant sites in biological macromolecules often involves collective transitions between active and inactive conformations. Nuclear magnetic resonance (NMR) spectroscopy can yield detailed information on these dynamics. In particular, relaxation dispersion techniques provide structural, dynamic, and mechanistic information on conformational transitions occurring on the millisecond to microsecond timescales. In this review, we provide an overview of the theory and analysis of Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion NMR experiments and briefly describe their application to the study of allosteric dynamics in the homeodomain from the PBX transcription factor (PBX-HD). CPMG NMR data show that local folding (helix/coil) transitions in one part of PBX-HD help to communicate information between two distant binding sites. Furthermore, the combination of CPMG and other spin relaxation data show that this region can also undergo local misfolding, reminiscent of conformational ensemble models of allostery.

Indexed as

AllosteryCarr-Purcell-Meiboom-GillMisfoldingNuclear magnetic resonancePBX homeodomainThree-state exchange

Identifiers

PMID28510170
PMCPMC5425744

What OpenQuestion holds

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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.