Evidence map›Paper›PMID 40737128›Full record

ArticleSTAR protocols2025

Protocol for deriving distance restraints from AlphaFold for use in solution NMR structure determination.

Qi-Tong Lin, Peter B Stathopulos

Abstract read
In one paragraph

Article in STAR protocols, 2025. 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.

Qi-Tong LinDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario N6A5C1, Canada. Electronic address: qlin44@uwo.ca.
Peter B StathopulosDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario N6A5C1, Canada. Electronic address: pstatho@uwo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) has revolutionized structural biology but must be applied reliably. Here, we present an approach for derivation of distance restraints from AlphaFold structure predictions to aid in automated nuclear Overhauser effect (NOE) assignment during solution NMR structure determination. We describe steps for selecting reliable AlphaFold structure predictions, determination of atom distances, and generation of high-confidence distance restraints. This protocol can expedite solution NMR structure determination, reduce NOE assignment ambiguity, enhance accuracy, enable elucidation of elusive proteins, and validate structural predictions. For complete details on the use and execution of this protocol, please refer to Lin et al.

Indexed as

Nuclear Magnetic Resonance, BiomolecularProteinsArtificial IntelligenceMagnetic Resonance SpectroscopyModels, MolecularProtein ConformationProteinsNMRstructural biology

Identifiers

PMID40737128
PMCPMC12329297

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.