Evidence map›Paper›PMID 24082716›Full record

ReviewJournal of natural science, biology, and medicine2013

A chemogenomics based approach for deorphanization of testicular receptor 4: An orphan receptor of nuclear receptor superfamily.

Savita Deshmukh, Shivakumar B Madagi

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of natural science, biology, and medicine, 2013. 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
0.5field-weighted citation impact, top 28% 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, 3 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

2 authors at 1 institution in 1 country.

Savita DeshmukhDepartment of Bioinformatics, Karnataka State Women University, Bijapur, Karnataka, India.
Shivakumar B Madagi
Karnataka State Women's University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orphan Receptor of Nuclear Receptor superfamily is the one with no known endogenous ligands. Many of these orphan receptors are associated with different types of diseases and therefore deserve special attention to find the potential ligands they would be associated with. The major task of molecular pharmacology is the deorphanization of the large number of nuclear receptors with unidentified endogenous agonists. The deorphanization provides a promising research for new therapeutics. The Testicular Receptor 4 being negative modulator to other members of the nuclear receptor superfamily, is one of the Orphan members of this family and is associated with prostate cancer, breast cancer, sickle cell anemia and joint diseases. The knowledge that related receptors of the same family often have ligands with similar structural features has helped us to utilize the chemogenomic approach to deorphanize the orphan receptor. Chemogenomics approach involves screening of known ligands of a protein family having analogous domain architecture for identification of new leads for existing protein family members. The deorphanization involved the database homology searching, followed by domain identification, active site prediction, sequence and structure comparative studies. A ligand library set was prepared based on these studies and was used to deorphanize the receptor. The molecular docking study conducted using PyRx revealed that estradiol and tretinion as a potential ligand for Testicular Receptor 4.

Indexed as

Chemogenomicsdeorphanizationestradiolorphan nuclear receptortesticular receptor 4tretinion

Identifiers

PMID24082716
PMCPMC3783764
OpenAlexW2073286955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.