Evidence map›Paper›PMID 42798787›Full record

ReviewFrontiers in molecular biosciences2026

Beyond structures: solution NMR as the quantitative engine of integrated structural biology.

Jeffrey A Purslow, Vincenzo Venditti

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jeffrey A PurslowRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, United States.
Vincenzo VendittiRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, United States.

Funding

Atomic-level characterization of self-regulatory mechanisms in large multidomain enzymesR35GM133488 · NIGMS · IOWA STATE UNIVERSITY · PI Vincenzo Venditti · 2019 to 2026
$2.9M
NIGMS NIH HHS R35 GM133488
6 · The paper itself

Abstract

Structural biology is moving beyond the determination of static molecular structures toward quantitative descriptions of biomolecular mechanisms. Modern questions increasingly focus on conformational heterogeneity, exchange kinetics, weak and transient interactions, allostery, disorder, assembly, and phase behavior. These properties are often difficult to infer from crystallography, cryo-electron microscopy, scattering, imaging, mass spectrometry, molecular simulations, or structural prediction alone. Solution NMR spectroscopy occupies a distinctive position in this integrated landscape because it provides residue- and atom-specific observables that report on structure, dynamics, populations, kinetics, and interactions directly in solution. Here, we review the role of solution NMR in integrated structural biology from a question-centered perspective. Rather than organizing the discussion around individual NMR experiments, we ask how NMR can be used with complementary approaches to address recurring mechanistic problems: What is the structure of a biomolecule in solution? What conformational states are populated, and how rapidly do they interconvert? How do ligands, nucleic acids, membranes, surfaces, or partner proteins bind? How are allosteric signals transmitted? How do disorder, large assemblies, and biomolecular condensates regulate function? How can NMR observables be integrated with simulations and other structural restraints to build testable models? The future of solution NMR lies not primarily in isolated structure determination, but in its ability to transform structural models into dynamic, quantitative, and experimentally constrained descriptions of biomolecular mechanism.

Indexed as

allosterybiomolecular dynamicsbiomolecular mechanismsintegrated structural biologysolution NMR

Identifiers

PMID42798787
PMCPMC13613019

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.