Evidence map›Paper›PMID 41198593›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2025

Identification of a novel and high-affinity cyclic peptide targeting Keap1 for inflammation treatment by a combined virtual screening strategy.

Shenglin Gao, Xiaokai Shi, Shudan Yang, Yuting Wang, Qian Wang, Minyan Yang

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 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

6 authors.

Shenglin GaoDepartment of Urology, The third affiliated hospital of Nanjing medical university, Nanjing medical university, Changzhou, China.
Xiaokai ShiDepartment of Urology, The third affiliated hospital of Nanjing medical university, Nanjing medical university, Changzhou, China.
Shudan YangDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Yuting WangDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Qian WangThe Department of Nephrology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Minyan YangThe Department of Obstetrics and Gynecology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhibition of the Keap1-Nrf2 protein-protein interaction with cyclic peptides represents an attractive strategy to treat inflammation. However, the cyclic peptides for this inhibition are constrained by their low affinity. In this study, the peptides 1-6 were computationally screened using Keap1-pharmacophore modelling, toxicity screening, molecular docking, and interaction analysis. Subsequently, affinity experiments showed that peptide-4 exhibited potent binding affinity for Keap1 (

Indexed as

Anti-Inflammatory AgentsAnti-Inflammatory Agents, Non-SteroidalInflammationKelch-Like ECH-Associated Protein 1Peptides, CyclicAnimalsDose-Response Relationship, DrugDrug Evaluation, PreclinicalLipopolysaccharidesMacrophagesMiceMolecular Docking SimulationMolecular StructureRAW 264.7 CellsStructure-Activity RelationshipAnti-Inflammatory AgentsAnti-Inflammatory Agents, Non-SteroidalKeap1 protein, mouseKelch-Like ECH-Associated Protein 1LipopolysaccharidesPeptides, CyclicCyclic peptideinflammationinhibitorKeap1-Nrf2 protein–protein interactionvirtual screening

Identifiers

PMID41198593
PMCPMC12599172

What Socratic holds

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LicenceCC BY-NC
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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.