Evidence map›Paper›PMID 41417269›Full record

ArticleJournal of chemical information and modeling2026

Top-Down Scoring of Spectral Fitness by Image Analysis for Protein Structure Validation.

Benjamin D Harding, Barry DeZonia, Rajat Garg, Ziling Hu, Frank Delaglio, Timothy Grant, Chad M Rienstra

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Benjamin D HardingDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Barry DeZoniaNational Magnetic Resonance Facility at Madison, University of Wisconsin-MadisonMadison, Wisconsin 53706, United States.ORCID 0000-0002-7151-8670
Rajat GargDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0001-8713-0198
Ziling HuDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Frank DelaglioInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology and the University of Maryland, Rockville, Maryland 20850, United States.ORCID 0000-0003-1264-2556
Timothy GrantDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Chad M RienstraDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID 0000-0002-9912-5596

Funding

Technologies for Solid-State NMR Data CollectionP41GM136463 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI WESTLER, WILLIAM MILO · 2021 to 2025
$6.4M
Toolkit for High-Resolution Structure and Dynamics of Functional LipidsR01GM123455 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MORRISSEY, JAMES H., RIENSTRA, CHAD M · 2016 to 2020
$5.0M
Predoctoral Training in Molecular BiophysicsT32GM130550 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SENES, ALESSANDRO · 2019 to 2023
$1.5M
NIGMS NIH HHS P41 GM136463NIGMS NIH HHS R01 GM123455NIGMS NIH HHS T32 GM130550
6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for protein structure determination, but traditional approaches require extensive manual assignments of hundreds to thousands of resonances. Here, we present NMRFAM-BPHON, a novel "top-down" approach that treats experimental NMR spectra as continuous grayscale images and quantitatively scores the agreement with simulated spectra generated from candidate protein structures. This method does not require complete resonance assignments, although it can incorporate experimental chemical shifts when available to improve performance. The simulated spectra are generated from postulated resonance assignments, which can be derived from empirical database predictions, direct interpretations, or a hybrid combination. BPHON employs a physics-based approximate polarization transfer model to predict cross-peak intensities from the internuclear distances in the decoy structure and models the peak line shapes using empirical, bulk T

Indexed as

Image Processing, Computer-AssistedNuclear Magnetic Resonance, BiomolecularProteinsModels, MolecularProtein ConformationSoftwareProteins

Identifiers

PMID41417269
PMCPMC12801295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.