Evidence map›Paper›PMID 41493169›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2026

Identification of novel HIF2α inhibitors: a structure-based virtual screening approach.

Shasha Zhou, Shengnan Yin, Shudan Yang, Yuting Wang, Panfeng Feng

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 2026. 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

5 authors.

Shasha ZhouDepartment of Pharmacy, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.
Shengnan YinDepartment of Pharmacy, Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine, Taizhou, China.
Shudan YangDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Yuting WangDepartment of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China.
Panfeng FengDepartment of Pharmacy, Affiliated Hospital 2 of Nantong University, Nantong First People's Hospital, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HIF2α is aberrantly upregulated in some renal cell carcinomas due to VHL mutations, supporting HIF2α inhibition as a compelling therapeutic approach for such cases. Therefore, the six compounds (designated as Compounds 1-6) were screened from the Maybridge database based on the constructed pharmacophore model and molecular docking. Subsequently, the docking models of Compounds 1-6 with HIF2α were analysed. Affinity assays revealed that both Compound-4 and Compound-5 exhibited robust affinity towards human recombinant HIF2α. MD simulations displayed that Compound-4 and Compound-5 stably bound to the active pocket of HIF2α. Cell experiments demonstrated that Compound-4 effectively inhibited the growth of the 786-O human renal cell carcinomas line (IC

Indexed as

Antineoplastic AgentsBasic Helix-Loop-Helix ProteinsCarcinoma, Renal CellCell Line, TumorCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorEndothelial PAS Domain-Containing Protein 1HumansMolecular Docking SimulationMolecular StructureStructure-Activity RelationshipAntineoplastic AgentsBasic Helix-Loop-Helix ProteinsEndothelial PAS Domain-Containing Protein 1HIF2αinhibitorpharmacophore screeningrenal cell carcinomas

Identifiers

PMID41493169
PMCPMC12777873

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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.