Evidence map›Paper›PMID 36375071›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Calculation of centralities in protein kinase A.

Alexandr P Kornev, Phillip C Aoto, Susan S Taylor

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. A PKA-selective inhibitor captures an open but more ordered conformation of the PKA catalytic subunit.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Local and distal changes in dynamics are caused by an L205R Cushing's syndrome mutant in PRKACA.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Evolutionary rewiring of the dynamic network underpinning allosteric epistasis in NS1 of the influenza A virus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Protein Kinase Structure and Dynamics: Role of the αC-β4 Loop.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Review
  14. 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.

Alexandr P KornevDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-1543-3795
Phillip C AotoDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0001-6518-0899
Susan S TaylorDepartment of Pharmacology, University of California San Diego, La Jolla, CA 92093.

Funding

Lessons Learned from PKA: Assembly of Dynamic Macromolecular SwitchesR35GM130389 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN S. TAYLOR · 2019 to 2026
$5.7M
NIGMS NIH HHS R35 GM130389
6 · The paper itself

Abstract

Topological analysis of protein residue networks (PRNs) is a common method that can help to understand the roles of individual residues. Here, we used protein kinase A as a study object and asked what already known functionally important residues can be detected by network analysis. Along several traditional approaches to weight edges in PRNs we used local spatial pattern (LSP) alignment that assigns high weights to edges only if CαCβ vectors for the corresponding residues retain their mutual positions and orientation. Our results show that even short molecular dynamic simulations of 10 to 20 ns can give convergent values for betweenness and degree centralities calculated from the LSP-based PRNs. Using these centralities, we were able to clearly distinguish a group of residues that are highly conserved in protein kinases and play important functional and regulatory roles. In comparison, traditional methods based on cross-correlation and linear mutual information were much less efficient for this particular task. These results call for reevaluation of the current methods to generate PRNs.

Indexed as

Cyclic AMP-Dependent Protein KinasesMolecular Dynamics SimulationCyclic AMP-Dependent Protein Kinasesallosterynetwork analysisprotein kinases

Identifiers

PMID36375071
PMCPMC9704751

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.