Evidence map›Paper›PMID 34161285›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

De novo determination of near-surface electrostatic potentials by NMR.

Binhan Yu, Channing C Pletka, B Montgomery Pettitt, Junji Iwahara

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Cysteine thiol-to-sulfonate oxidation induces unfolding for the functional switching of the extracellular HMGB1 protein.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Ion NMR for Biomolecular Systems.Journal of molecular biology · 2025
    Review
  4. A flexible, allosteric loop regulates protein activity and rewires electrostatics.Protein science : a publication of the Protein Society · 2025
    Article
  5. Article
  6. Article
  7. Modulation of histone tail electrostatic potentials in nucleosome core particles by acetylation and PARylation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Strong field gradients enable NMR-based diffusion measurements for KJournal of magnetic resonance (San Diego, Calif. : 1997) · 2025
    Article
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  10. Article
  11. Review
  12. Article
  13. Article
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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

4 authors.

Binhan YuDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555.ORCID 0000-0002-8958-3470
Channing C PletkaDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555.
B Montgomery PettittDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555.ORCID 0000-0003-4902-3046
Junji IwaharaDepartment of Biochemistry and Molecular Biology, Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, Galveston, TX 77555 j.iwahara@utmb.edu.ORCID 0000-0003-4732-2173

Funding

Dynamics of DNA scanning and recognition by transcription factorsR35GM130326 · NIGMS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Junji Iwahara · 2019 to 2026
$4.2M
NIGMS NIH HHS R35 GM130326
6 · The paper itself

Abstract

Electrostatic potentials computed from three-dimensional structures of biomolecules by solving the Poisson-Boltzmann equation are widely used in molecular biophysics, structural biology, and medicinal chemistry. Despite the approximate nature of the Poisson-Boltzmann theory, validation of the computed electrostatic potentials around biological macromolecules is rare and methodologically limited. Here, we present a unique and powerful NMR method that allows for straightforward and extensive comparison with electrostatic models for biomolecules and their complexes. This method utilizes paramagnetic relaxation enhancement arising from analogous cationic and anionic cosolutes whose spatial distributions around biological macromolecules reflect electrostatic potentials. We demonstrate that this NMR method enables de novo determination of near-surface electrostatic potentials for individual protein residues without using any structural information. We applied the method to ubiquitin and the Antp homeodomain-DNA complex. The experimental data agreed well with predictions from the Poisson-Boltzmann theory. Thus, our experimental results clearly support the validity of the theory for these systems. However, our experimental study also illuminates certain weaknesses of the Poisson-Boltzmann theory. For example, we found that the theory predicts stronger dependence of near-surface electrostatic potentials on ionic strength than observed in the experiments. Our data also suggest that conformational flexibility or structural uncertainties may cause large errors in theoretical predictions of electrostatic potentials, particularly for highly charged systems. This NMR-based method permits extensive assessment of near-surface electrostatic potentials for various regions around biological macromolecules and thereby may facilitate improvement of the computational approaches for electrostatic potentials.

Indexed as

Magnetic Resonance SpectroscopyStatic ElectricityCationsDNAHomeodomain ProteinsModels, MolecularMolecular ConformationOsmolar ConcentrationSurface PropertiesCationsDNAHomeodomain ProteinsDNAelectrostaticsionsnuclear magnetic resonanceproteins

Identifiers

PMID34161285
PMCPMC8237567

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LicenceCC BY-NC-ND
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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.