Evidence map›Paper›PMID 40837479›Full record

ArticleData in brief2025

Dataset on insight into inhibition capacity of cyclic tetra-amino acid based compounds as efficient crystal structure of human insulin-degrading enzyme inhibitors.

Cecilia O Akintayo, Abel Kolawole Oyebamiji, Arogundade Ibukun O, Adeniyi Adebayo, Sunday Adewale Akintelu, Samson Olusegun Afolabi, Oluwakemi Ebenezer

Abstract read
In one paragraph

Article in Data in brief, 2025. 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
–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

0 citing papers in PubMed.

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

7 authors.

Cecilia O AkintayoChemistry Department, Federal University Oye Ekiti, Ekiti State, Nigeria.
Abel Kolawole OyebamijiDepartment of Industrial Chemistry, University of Ilesa, Ilesa, Osun State, Nigeria.
Arogundade Ibukun OChemistry Department, Federal University Oye Ekiti, Ekiti State, Nigeria.
Adeniyi AdebayoChemistry Department, Federal University Oye Ekiti, Ekiti State, Nigeria.
Sunday Adewale AkinteluDepartment of Industrial Chemistry, University of Ilesa, Ilesa, Osun State, Nigeria.
Samson Olusegun AfolabiDepartment of Chemistry, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Oluwakemi EbenezerDepartment of Industrial Chemistry, University of Ilesa, Ilesa, Osun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biochemical evaluation of nine cyclopeptide derivatives were investigated using computational approaches. Key software in drug design and discovery (Spartan for optimization; Molecular operating environment (MOE) for induced fit docking; ADMETSar for pharmacokinetics; GROMACS for molecular dynamic simulation) were employed in this work. The optimization was accomplished using 6-31G* as basis set via Spartan 14 software while the optimized compounds were docked against human insulin-degrading enzyme (2WBY). The embedded features of the optimized compounds were accessible after optimization and they were observed and reported. Also, methyl (3S,9S,12S)-12-(1,3-dioxoisoindolin-2-yl)-9-(4-hydroxybenzyl)-5,8,11-trioxo-4,7,10-triaza-1(1,3)-benzenacyclotridecaphane-3-carboxylate (compound

Indexed as

Crystal, diabetesInsulinPeptidesSimulation

Identifiers

PMID40837479
PMCPMC12361604

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.