Evidence map›Paper›PMID 16244704›Full record

ArticlePLoS computational biology2005

Structural evolution of the protein kinase-like superfamily.

Eric D Scheeff, Philip E Bourne

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

140 citing papers in PubMed, 267 citations in OpenAlex.

  1. PHLPP is neither a Phosphatase nor a Tumor Suppressor.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  2. A Constellation of Fluorescent Biosensors to Illuminate the Galaxy of Protein Kinases.Chembiochem : a European journal of chemical biology · 2026
    Review
  3. Review
  4. Article
  5. Article
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  7. New evidence supports the prophage origin of RcGTA.Applied and environmental microbiology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Pathogenic mutation hotspots in protein kinase domain structure.Protein science : a publication of the Protein Society · 2023
    Article
  15. Article
  16. Design, synthesis, and biological evaluation of new thieno[2,3-Journal of enzyme inhibition and medicinal chemistry · 2022
    Article
  17. Article
  18. Article
  19. Review
  20. Article

80 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Eric D ScheeffSan Diego Supercomputer Center, University of California, San Diego, California, United States of America. escheeff@sdsc.edu
Philip E Bourne
San Diego Supercomputer Center · USUniversity of California, San Diego · US

Funding

Tools &Data Resources in Support of Structural GenomicsP01GM063208 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2002 to 2006
$5.3M
NIGMS NIH HHS 1GM63208NIGMS NIH HHS P01 GM063208
6 · The paper itself

Abstract

The protein kinase family is large and important, but it is only one family in a larger superfamily of homologous kinases that phosphorylate a variety of substrates and play important roles in all three superkingdoms of life. We used a carefully constructed structural alignment of selected kinases as the basis for a study of the structural evolution of the protein kinase-like superfamily. The comparison of structures revealed a "universal core" domain consisting only of regions required for ATP binding and the phosphotransfer reaction. Remarkably, even within the universal core some kinase structures display notable changes, while still retaining essential activity. Hence, the protein kinase-like superfamily has undergone substantial structural and sequence revision over long evolutionary timescales. We constructed a phylogenetic tree for the superfamily using a novel approach that allowed for the combination of sequence and structure information into a unified quantitative analysis. When considered against the backdrop of species distribution and other metrics, our tree provides a compelling scenario for the development of the various kinase families from a shared common ancestor. We propose that most of the so-called "atypical kinases" are not intermittently derived from protein kinases, but rather diverged early in evolution to form a distinct phyletic group. Within the atypical kinases, the aminoglycoside and choline kinase families appear to share the closest relationship. These two families in turn appear to be the most closely related to the protein kinase family. In addition, our analysis suggests that the actin-fragmin kinase, an atypical protein kinase, is more closely related to the phosphoinositide-3 kinase family than to the protein kinase family. The two most divergent families, alpha-kinases and phosphatidylinositol phosphate kinases (PIPKs), appear to have distinct evolutionary histories. While the PIPKs probably have an evolutionary relationship with the rest of the kinase superfamily, the relationship appears to be very distant (and perhaps indirect). Conversely, the alpha-kinases appear to be an exception to the scenario of early divergence for the atypical kinases: they apparently arose relatively recently in eukaryotes. We present possible scenarios for the derivation of the alpha-kinases from an extant kinase fold.

Indexed as

Multigene FamilyAdenosine TriphosphateAmino Acid SequenceAnimalsComputational BiologyDatabases, ProteinEvolution, MolecularHumansMolecular Sequence DataPhylogenyProtein KinasesProteinsProtein Structure, SecondaryProteomicsSequence Homology, Amino AcidAdenosine TriphosphateProtein KinasesProteins

Identifiers

PMID16244704
PMCPMC1261164
OpenAlexW2018207366

What OpenQuestion holds

Textmetadata
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.