Evidence map›Paper›PMID 23904509›Full record

ArticleBioinformatics (Oxford, England)2013

Kinannote, a computer program to identify and classify members of the eukaryotic protein kinase superfamily.

Jonathan M Goldberg, Allison D Griggs, Janet L Smith, Brian J Haas, Jennifer R Wortman, Qiandong Zeng

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023
    Article
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  9. Genome Analysis of the Broad Host Range NecrotrophFrontiers in plant science · 2022
    Article
  10. Update and elucidation ofComputational and structural biotechnology journal · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Unveiling the Kinomes ofComputational and structural biotechnology journal · 2019
    Article
  18. Article
  19. 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

6 authors.

Jonathan M GoldbergBroad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA and Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Allison D Griggs
Janet L Smith
Brian J Haas
Jennifer R Wortman
Qiandong Zeng

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Whole-genome shotgun sequencing strategy and assemblyR01HG003474 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAFFE, DAVID B · 2005 to 2013
$6.1M
NHGRI NIH HHS R01 HG003474NHGRI NIH HHS R01HG003474NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54HG003067NIAID NIH HHS HHSN272200900018C
6 · The paper itself

Abstract

motivationKinases of the eukaryotic protein kinase superfamily are key regulators of most aspects eukaryotic cellular behavior and have provided several drug targets including kinases dysregulated in cancers. The rapid increase in the number of genomic sequences has created an acute need to identify and classify members of this important class of enzymes efficiently and accurately.

resultsKinannote produces a draft kinome and comparative analyses for a predicted proteome using a single line command, and it is currently the only tool that automatically classifies protein kinases using the controlled vocabulary of Hanks and Hunter [Hanks and Hunter (1995)]. A hidden Markov model in combination with a position-specific scoring matrix is used by Kinannote to identify kinases, which are subsequently classified using a BLAST comparison with a local version of KinBase, the curated protein kinase dataset from www.kinase.com. Kinannote was tested on the predicted proteomes from four divergent species. The average sensitivity and precision for kinome retrieval from the test species are 94.4 and 96.8%. The ability of Kinannote to classify identified kinases was also evaluated, and the average sensitivity and precision for full classification of conserved kinases are 71.5 and 82.5%, respectively. Kinannote has had a significant impact on eukaryotic genome annotation, providing protein kinase annotations for 36 genomes made public by the Broad Institute in the period spanning 2009 to the present. AVAILABILITY: Kinannote is freely available at http://sourceforge.net/projects/kinannote.

Indexed as

AlgorithmsEukaryotic CellsGenomeInternetPosition-Specific Scoring MatricesProtein KinasesProteomeSoftware DesignProtein KinasesProteome

Identifiers

PMID23904509
PMCPMC3777111

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Registered trials

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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.