Evidence map›Paper›PMID 30609679›Full record

ReviewPharmaceuticals (Basel, Switzerland)2019

Natural Compounds and Derivatives as Ser/Thr Protein Kinase Modulators and Inhibitors.

Barbara Guerra, Olaf-Georg Issinger

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Putative role of natural products as Protein Kinase C modulator in different disease conditions.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2021
    Review
  10. Betulin, a Newly Characterized Compound inMolecules (Basel, Switzerland) · 2021
    Article
  11. Review
  12. VariousTurkish journal of pharmaceutical sciences · 2020
    Article
  13. Review
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 1 institution in 1 country.

Barbara GuerraDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense M, Denmark. bag@bmb.sdu.dk.ORCID 0000-0003-1136-2413
Olaf-Georg IssingerDepartment of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense M, Denmark. ogi@bmb.sdu.dk.ORCID 0000-0003-3620-1843
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The need for new drugs is compelling, irrespective of the disease. Focusing on medical problems in the Western countries, heart disease and cancer are at the moment predominant illnesses. Owing to the fact that ~90% of all 21,000 cellular proteins in humans are regulated by phosphorylation/dephosphorylation it is not surprising that the enzymes catalysing these reactions (i.e., protein kinases and phosphatases, respectively) have attracted considerable attention in the recent past. Protein kinases are major team players in cell signalling. In tumours, these enzymes are found to be mutated disturbing the proper function of signalling pathways and leading to uncontrolled cellular growth and sustained malignant behaviour. Hence, the search for small-molecule inhibitors targeting the altered protein kinase molecules in tumour cells has become a major research focus in the academia and pharmaceutical companies.

Indexed as

cancercellular signallingflavonoidskinase inhibitionnatural compoundsphosphorylationprotein kinase

Identifiers

PMID30609679
PMCPMC6469162
OpenAlexW2908331702

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.