Evidence map›Paper›PMID 37572333›Full record

ArticleProtein science : a publication of the Protein Society2023

Pathogenic mutation hotspots in protein kinase domain structure.

Kirill E Medvedev, R Dustin Schaeffer, Jimin Pei, Nick V Grishin

Open access · hybridAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Integrating evidence from protein domains to identify cancer driver mutations.Protein science : a publication of the Protein Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. The journal of physical chemistry. C, Nanomaterials and interfaces · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. DrugDomain: The evolutionary context of drugs and small molecules bound to domains.Protein science : a publication of the Protein Society · 2024
    Article
  11. Pathogenic mutation hotspots in protein kinase domain structure.Protein science : a publication of the Protein Society · 2023
    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 at 2 institutions in 1 country.

Kirill E MedvedevDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-7982-4242
R Dustin SchaefferDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-6502-1425
Jimin PeiEugene McDermott Center for Human Growth and Development, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Nick V GrishinDepartment of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

Computational analysis of proteinsR35GM127390 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2018 to 2022
$1.5M
ECOD: Large scale classification of predicted and experimental protein structuresR01GM147367 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Richard Dustin Schaeffer · 2023 to 2026
$1.4M
NIGMS NIH HHS R01 GM147367
6 · The paper itself

Abstract

Control of eukaryotic cellular function is heavily reliant on the phosphorylation of proteins at specific amino acid residues, such as serine, threonine, tyrosine, and histidine. Protein kinases that are responsible for this process comprise one of the largest families of evolutionarily related proteins. Dysregulation of protein kinase signaling pathways is a frequent cause of a large variety of human diseases including cancer, autoimmune, neurodegenerative, and cardiovascular disorders. In this study, we mapped all pathogenic mutations in 497 human protein kinase domains from the ClinVar database to the reference structure of Aurora kinase A (AURKA) and grouped them by the relevance to the disease type. Our study revealed that the majority of mutation hotspots associated with cancer are situated within the catalytic and activation loops of the kinase domain, whereas non-cancer-related hotspots tend to be located outside of these regions. Additionally, we identified a hotspot at residue R371 of the AURKA structure that has the highest number of exclusively non-cancer-related pathogenic mutations (21) and has not been previously discussed.

Indexed as

Protein KinasesProtein Serine-Threonine KinasesAurora Kinase AHumansModels, MolecularMutationPhosphorylationAurora Kinase AProtein KinasesProtein Serine-Threonine Kinasesdomainkinasesmutation hotspotprotein structure

Identifiers

PMID37572333
PMCPMC10464295
OpenAlexW4385779636

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.