Evidence map›Paper›PMID 30622421›Full record

ArticleSaudi journal of biological sciences2019

Interfering PLD1-PED/PEA15 interaction using self-inhibitory peptides: An

Mohammad Hassan Baig, Mohd Adnan Kausar, Fohad Mabood Husain, Shazi Shakil, Irfan Ahmad, Brijesh S Yadav, Mohd Saeed

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 6 institutions in 3 countries.

Mohammad Hassan BaigDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Mohd Adnan KausarDepartment of Biochemistry, College of Medicine, University of Hail, Saudi Arabia.
Fohad Mabood HusainDepartment of Food Science and Nutrition, Faculty of Food and Agricultural Sciences, King Saud University, Saudi Arabia.
Shazi ShakilCenter of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Irfan AhmadDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Brijesh S YadavDepartment of Bioengineering, University of Information Science and Technology, The Former Yugolav Republic of Macedonia.
Mohd SaeedDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Saudi Arabia.
University of Ha'il · SAKing Abdulaziz University · SAKing Khalid University · SAKing Saud University · SAUniversity of Information Science · CUYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes type 2 (T2D) is a very complex disorder with a large number of cases reported worldwide. There are several reported molecular targets which are being used towards drug design. In spite of extensive research efforts, there is no sure shot treatment available. One of the major reasons for this failure or restricted success in T2D research is the identification of a major/breakthrough therapeutic target responsible for the progression of T2D. It has been well documented that one of the major causes mediating the insulin resistance is the interaction of PLD1 with PED/PEA15. Herein, we have performed

Indexed as

DiabetesMolecular interactionsPeptidesPhospholipase D1 (PLD1)Phosphoprotein enriched in diabetes (PED/PEA15)

Identifiers

PMID30622421
PMCPMC6319087
OpenAlexW2888421071

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.