Evidence map›Paper›PMID 33520595›Full record

ArticleIn silico pharmacology2021

An in silico approach to study the interaction of BHA with selected steroid hormone receptors and investigating it's agonistic and antagonistic properties.

Subin Balachandran, R N Binitha

Open access · greenAbstract read
In one paragraph

Article in In silico pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Subin BalachandranDepartment of Zoology, Sacred Heart College, Thevara, Kochi-13, Kerala India.
R N BinithaDepartment of Zoology, Mar Athanasius College, Kothamangalam, Ernakulam, Kerala 686666 India.
Sacred Heart College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antioxidant food additives were routinely used for increasing the keeping quality of packaged food items. Butylated Hydroxyanisole (BHA) is one of the most widely used synthetic phenolic antioxidants of such kind. Although quantity of antioxidants in packaged eatables and admissible daily intake (ADI) per person per day are limited by laws, the urbanisation and changes in lifestyle has cross these limits. Although studies on BHA has been carried out, there exists a great deal of uncertainty about the exact molecular mechanism of interaction of BHA with various receptors in the body. Since earlier reports suggested BHA plausibly interferes with reproductive system development, we opted docking of critical receptors of endogenous hormones controlling growth and development of reproductive system with BHA. Nuclear receptors of estrogen (ER), androgen (AR) and progesterone (PR) were selected for this purpose. This manuscript describes the comparison of binding pattern of BHA towards AR, ER and PR along with their agonists and antagonist. Lamarckian Genetic Algorithm of AutoDock 4.0 was used for analysing the mode of binding of ligands with the receptors. It is evident form the docking studies that, BHA exhibited similar binding pattern` with antagonists of AR and agonists of ER. But the interaction of BHA with PR was not compatible with either agonists or antagonists. The docking patterns produced could reliably demonstrate the interactions of BHA with selected receptors and also predict its possible agonistic and antagonistic action.

Indexed as

AgonistsAntagonistsAntioxidantBHAMolecular docking

Identifiers

PMID33520595
PMCPMC7843719
OpenAlexW3127266030

What OpenQuestion holds

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Registered trials

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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.