Evidence map›Paper›PMID 38365785›Full record

ArticleBMC research notes2024

KINtaro: protein kinase-like database.

Bartosz Baranowski, Marianna Krysińska, Marcin Gradowski

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Bartosz BaranowskiLaboratory of Plant Pathogenesis, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland.
Marianna KrysińskaDepartment of Biochemistry and Microbiology, Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
Marcin GradowskiDepartment of Biochemistry and Microbiology, Warsaw University of Life Sciences (SGGW), Warsaw, Poland. marcin_gradowski@sggw.edu.pl.
Warsaw University of Life Sciences · PLInstitute of Biochemistry and Biophysics, Polish Academy of Sciences · PL

Funding

Polish National Science Centre Grant 2019/35/N/NZ2/02844
6 · The paper itself

Abstract

objectiveThe superfamily of protein kinases features a common Protein Kinase-like (PKL) three-dimensional fold. Proteins with PKL structure can also possess enzymatic activities other than protein phosphorylation, such as AMPylation or glutamylation. PKL proteins play a vital role in the world of living organisms, contributing to the survival of pathogenic bacteria inside host cells, as well as being involved in carcinogenesis and neurological diseases in humans. The superfamily of PKL proteins is constantly growing. Therefore, it is crucial to gather new information about PKL families.

resultsTo this end, the KINtaro database ( http://bioinfo.sggw.edu.pl/kintaro/ ) has been created as a resource for collecting and sharing such information. KINtaro combines protein sequence information and additional annotations for more than 70 PKL families, including 32 families not associated with PKL superfamily in established protein domain databases. KINtaro is searchable by keywords and by protein sequence and provides family descriptions, sequences, sequence alignments, HMM models, 3D structure models, experimental structures with PKL domain annotations and sequence logos with catalytic residue annotations.

Indexed as

Protein KinasesProteinsAmino Acid SequenceDatabases, ProteinHumansPhosphorylationSequence AlignmentProtein KinasesProteinsHMMPhosphorylationPhosphotransferaseProtein kinasePseudokinaseStructure prediction

Identifiers

PMID38365785
PMCPMC10870513
OpenAlexW4391880821

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.