Evidence map›Paper›PMID 37904891›Full record

ArticleMagnetic resonance (Gottingen, Germany)2020

Paramagpy: software for fitting magnetic susceptibility tensors using paramagnetic effects measured in NMR spectra.

Henry William Orton, Thomas Huber, Gottfried Otting

Abstract read
In one paragraph

Article in Magnetic resonance (Gottingen, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. AMIGO - Guided assignment ofJournal of biomolecular NMR · 2026
    Article
  3. Article
  4. αStructure (London, England : 1993) · 2024
    Article
  5. αbioRxiv : the preprint server for biology · 2024
    Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Incorporation of residual chemical shift anisotropy into the treatment ofJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  13. Article
  14. Review
  15. Assignment of Ala, Ile, LeuBiomolecular NMR assignments · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Localising individual atoms of tryptophan side chains in the metallo-Magnetic resonance (Gottingen, Germany) · 2022
    Article
  20. Article
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

3 authors.

Henry William OrtonResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia.
Thomas HuberResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia.
Gottfried OttingResearch School of Chemistry, Australian National University, Canberra, ACT 2601, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paramagnetic metal ions with fast-relaxing electrons generate pseudocontact shifts (PCSs), residual dipolar couplings (RDCs), paramagnetic relaxation enhancements (PREs) and cross-correlated relaxation (CCR) in the nuclear magnetic resonance (NMR) spectra of the molecules they bind to. These effects offer long-range structural information in molecules equipped with binding sites for such metal ions. Here we present the new open-source software Paramagpy, which has been written in Python 3 with a graphic user interface. Paramagpy combines the functionalities of different currently available programs to support the fitting of magnetic susceptibility tensors using PCS, RDC, PRE and CCR data and molecular coordinates in Protein Data Bank (PDB) format, including a convenient graphical user interface. Paramagpy uses efficient fitting algorithms to avoid local minima and supports corrections to back-calculated PCS and PRE data arising from cross-correlation effects with chemical shift tensors. The source code is available from 10.5281/zenodo.3594568 .

Identifiers

PMID37904891
PMCPMC10500712

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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.