Evidence map›Paper›PMID 35629318›Full record

ReviewLife (Basel, Switzerland)2022

Protein-Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow.

Rabiatul-Adawiah Zainal-Abidin, Nor Afiqah-Aleng, Muhammad-Redha Abdullah-Zawawi, Sarahani Harun, Zeti-Azura Mohamed-Hussein

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Trial
  2. Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026
    Article
  3. Alport Syndrome-Associated PathogenicInternational journal of genomics · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evaluation of protein's interaction and the regulatory network of some drought-responsive genes in Canola under drought and re-watering conditions.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    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.

Rabiatul-Adawiah Zainal-AbidinMalaysian Agricultural Research & Development Institute (MARDI), Serdang 43400, Malaysia.ORCID 0000-0002-3348-5636
Nor Afiqah-AlengInstitute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus 21030, Malaysia.ORCID 0000-0003-0919-5126
Muhammad-Redha Abdullah-ZawawiUKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.ORCID 0000-0002-4404-6014
Sarahani HarunCentre for Bioinformatics Research, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0002-7222-800X
Zeti-Azura Mohamed-HusseinCentre for Bioinformatics Research, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.ORCID 0000-0002-5386-7260

Funding

Centre for Marker Discovery and Validation (CMDV) K-RB307Ministry of Higher Education FRGS/1/2021/STG01/UMT/03/1
6 · The paper itself

Abstract

Protein-protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.

Indexed as

bioinformaticsnetworknetwork analysisoestrogen receptorprotein–protein interactionzebrafish

Identifiers

PMID35629318
PMCPMC9143887

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.