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

Read full text
Authors: Shasha Zhou, Shengnan Yin, Shudan Yang, Yuting Wang, Panfeng Feng
Cited by: 0
References: 42

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 (IC50 = 1.35 ± 0.06 μM). This study demonstrates that Compound-4 may serve as a potential candidate compound for renal cell carcinomas therapy.

Fields of Study & Subjects

Cancer Hypoxia and Metabolism Computational Drug Discovery Methods Lipids

Publication details

Journal / source
Journal of Enzyme Inhibition and Medicinal Chemistry
Volume
41
Issue
1
Pages
2606435–2606435
Publication date
6 January 2026
Language
EN