Evidence map›Paper›PMID 26734986›Full record

ReviewChemical reviews2016

Solution NMR Spectroscopy for the Study of Enzyme Allostery.

George P Lisi, J Patrick Loria

Abstract readReview
In one paragraph

Review in Chemical reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Review
  2. Mapping Allosteric Communication in the Nucleosome with Conditional Activity.Journal of chemical information and modeling · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. A Foundational Shift in Models for Enzyme Function.Journal of the American Chemical Society · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

9 more citing papers are in PubMed but not listed here.

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.

George P LisiDepartment of Chemistry, Yale University , New Haven, Connecticut 06520, United States.
J Patrick LoriaDepartment of Chemistry, Yale University , New Haven, Connecticut 06520, United States.

Funding

Computational and Biochemical Studies of Temperature Effects on Allostery in the Imidazole Glycerol Phosphate Synthase (IGPS) from T. maritimaR01GM106121 · NIGMS · YALE UNIVERSITY · PI BATISTA, VICTOR S, LORIA, JOSEPH P · 2014 to 2021
$2.3M
NIGMS NIH HHS R01 GM106121
6 · The paper itself

Abstract

Allostery is a ubiquitous biological regulatory process in which distant binding sites within a protein or enzyme are functionally and thermodynamically coupled. Allosteric interactions play essential roles in many enzymological mechanisms, often facilitating formation of enzyme-substrate complexes and/or product release. Thus, elucidating the forces that drive allostery is critical to understanding the complex transformations of biomolecules. Currently, a number of models exist to describe allosteric behavior, taking into account energetics as well as conformational rearrangements and fluctuations. In the following Review, we discuss the use of solution NMR techniques designed to probe allosteric mechanisms in enzymes. NMR spectroscopy is unequaled in its ability to detect structural and dynamical changes in biomolecules, and the case studies presented herein demonstrate the range of insights to be gained from this valuable method. We also provide a detailed technical discussion of several specialized NMR experiments that are ideally suited for the study of enzymatic allostery.

Indexed as

Nuclear Magnetic Resonance, BiomolecularAllosteric RegulationBinding SitesEnzymesHemoglobinsSolutionsEnzymesHemoglobinsSolutions

Identifiers

PMID26734986
PMCPMC4937494

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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.