Evidence map›Paper›PMID 40061631›Full record

ArticleIn silico pharmacology2025

Network pharmacology and molecular docking to reveal the pharmacological mechanisms of

Ifeanyi Edozie Otuokere, Julian Ibeji Iheanyichukwu, Onuchi Marygem Mac-Kalunta, Chinedum Ifeanyi Nwankwo, Comfort Michael Ngwu, Stella Mbanyeaku Ufearoh, Brendan Chidozie Asogwa, Henry Chibueze Osiagor, Felix Chigozie Nwadire

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Ifeanyi Edozie OtuokereDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Julian Ibeji IheanyichukwuDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Onuchi Marygem Mac-KaluntaDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Chinedum Ifeanyi NwankwoDepartment of Biochemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Comfort Michael NgwuDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Stella Mbanyeaku UfearohDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Brendan Chidozie AsogwaDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.
Henry Chibueze OsiagorDepartment of Pure and Industrial Chemistry, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria.
Felix Chigozie NwadireDepartment of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BCa) is a major global health issue, impacting millions of women globally. A variety of synthetic medications exist for BRCA treatment; however, many of them have elevated risks of side effects and long-term therapy complications. Traditional formulations are gaining popularity as they resolve certain difficulties. This study utilises network pharmacology (NP) and molecular docking to elucidate the pharmacological processes of Graphical abstract:

Indexed as

Abelmoschus esculentusBreast cancerMolecular dockingNetwork pharmacology

Identifiers

PMID40061631
PMCPMC11885217

What Socratic holds

Textmetadata
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 Socratic graph.