Evidence map›Paper›PMID 38952955›Full record

ArticleData in brief2024

Abel Kolawole Oyebamiji, Sunday Adewale Akintelu, David O Adekunle, David Gbenga Oke, Adesoji Alani Olanrewaju, Omowumi Temitayo Akinola

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Abel Kolawole OyebamijiIndustrial Chemistry Programme, Bowen University, PMB 284, Iwo, Osun State, Nigeria.
Sunday Adewale AkinteluDepartment of pure and Applied Chemistry, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso, Oyo State, Nigeria.
David O AdekunleIndustrial Chemistry Programme, Bowen University, PMB 284, Iwo, Osun State, Nigeria.
David Gbenga OkeIndustrial Chemistry Programme, Bowen University, PMB 284, Iwo, Osun State, Nigeria.
Adesoji Alani OlanrewajuIndustrial Chemistry Programme, Bowen University, PMB 284, Iwo, Osun State, Nigeria.
Omowumi Temitayo AkinolaMicrobiology Programme, Bowen University, PMB 284 Iwo, Osun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nine heterocyclic compounds were investigated using density functional theory, molecular operating environment software, material studio, swissparam (Swiss drug design) software. In this work, the descriptors generated from the optimized compounds proved to be efficient and explain the level of reactivity of the investigated compound. The developed quantitative structure activity relationship (QSAR) model was predictive and reliable. Also, compound 9 proved to be capable of inhibiting Mt-Sp1/Matriptase (pdb id: 1eax) than other examined heterocyclic compounds. Target prediction analysis was carried out on the compound with highest binding affinity (Compound 9) and the results were reported.

Indexed as

DFTDockingGFAInhibitorsMt-Sp1/MatriptaseTarget prediction

Identifiers

PMID38952955
PMCPMC11214998

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.