Evidence map›Paper›PMID 39246722›Full record

ReviewFrontiers in chemistry2024

Metal ions in biomedically relevant macromolecular structures.

Karolina A Majorek, Michal Gucwa, Krzysztof Murzyn, Wladek Minor

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Can nanozymes achieve more than enzymes?Nature reviews. Materials · 2026
    Article
  4. Article
  5. Genomic architecture of insertion-deletion (indel) variants in beetal goats of India.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  6. Article
  7. Article
  8. 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

4 authors.

Karolina A MajorekDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, United States.
Michal GucwaDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, United States.
Krzysztof MurzynDepartment of Computational Biophysics and Bioinformatics, Jagiellonian University, Krakow, Poland.
Wladek MinorDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, United States.

Funding

Reproducible, Unbiased Ligand Identification Assisted by Artificial Intelligence and Development of Ligand Reference LibrariesR01GM132595 · NIGMS · UNIVERSITY OF VIRGINIA · PI MINOR, WLADEK · 2019 to 2022
$2.3M
NIGMS NIH HHS R01 GM132595
6 · The paper itself

Abstract

Understanding the functions of metal ions in biological systems is crucial for many aspects of research, including deciphering their roles in diseases and potential therapeutic use. Structural information about the molecular or atomic details of these interactions, generated by methods like X-ray crystallography, cryo-electron microscopy, or nucleic magnetic resonance, frequently provides details that no other method can. As with any experimental method, they have inherent limitations that sometimes lead to an erroneous interpretation. This manuscript highlights different aspects of structural data available for metal-protein complexes. We examine the quality of modeling metal ion binding sites across different structure determination methods, where different kinds of errors stem from, and how they can impact correct interpretations and conclusions.

Indexed as

biomedical researchdrug discoverymetalloproteinsmetal-protein complexesreproducibilitystructural biology

Identifiers

PMID39246722
PMCPMC11378719

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.