ArticleData in brief2024
Dataset on anti-human insulin-degrading enzyme activities of cyclic tetra peptides: Insight from insilico approach.
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 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Dataset on insight into inhibition capacity of cyclic tetra-amino acid based compounds as efficient crystal structure of human insulin-degrading enzyme inhibitors.Data in brief · 2025Article
- Dataset on potential biochemical activities of Cylo phe-Ala-Asp-Gly-based compounds as Caspase 1 inhibitor.Data in brief · 2025Article
- Dataset on anti-human insulin-degrading enzyme activities of cyclic tetra peptides: Insight from insilico approach.Data in brief · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work, the biochemical activities of seven cyclic peptides were investigated using the
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Identifiers
What OpenQuestion holds
Registered trials
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.