Evidence map›Paper›PMID 31249436›Full record

ArticleBioinformation2019

MAPKDB: A MAP kinase database for signal transduction element identification.

Hamdan Ali Alshehri, Nadim W Alkharouf, Omar Darwish, Brant T McNeece, Vincent P Klink

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in plant science · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors at 3 institutions in 1 country.

Hamdan Ali AlshehriDepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USA.
Nadim W AlkharoufDepartment of Computer and Information Sciences, Towson University, Towson, MD 21252, USA.
Omar DarwishDepartment of Mathematics and Computer Science, Texas Woman's University, Denton, TX 76204.
Brant T McNeeceDepartment of Biological Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Vincent P KlinkDepartment of Biological Sciences, Mississippi State University, Mississippi State, MS 39762, USA.
Mississippi State University · USTowson University · USTexas Woman's University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mitogen activated protein kinase (MAPK) cascade is a central signal transduction platform, ubiquitous within the eukaryotes. MAPKs function prominently in different essential cellular processes such as proliferation, differentiation, survival and defense to pathogen attack. The 32 MAPKs of Glycine max (soybean) have been examined functionally to determine if they have any defense role, focusing in on infection by the plant-parasitic nematode Heterodera glycines. Of these 32 MAPKs, 9 have been shown to have a defense function. Hence, the Mitogen Activated Protein Kinase database (MAPKDB) has been developed to assist in such research. The MAPKDB allows users to search the annotations with sequence data for G. max transgenic lines undergoing overexpression (OE) or RNA interference (RNAi) of its defense map kinases. These defense MAPKs include map kinase 2 (MPK2), MPK3, MPK4, MPK5, MPK6, MPK13, MPK16, and MPK20. The database also contains data analysis information for each sample that helps to detect the differential expression of the genes identified within these samples. The database also contains data for each sample that helps to detect the differential expression of the genes identified within these samples. The database has been developed to manage G. max MAPK sequences with sequence alignment for 18 different samples along with two additional OE and RNAi control experiments for a total of 20.

Indexed as

databaseMAPKDBMAP kinase

Identifiers

PMID31249436
PMCPMC6589469
OpenAlexW2955387917

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.