Evidence map›Paper›PMID 40468526›Full record

ArticleChemical biology & drug design2025

Identification of a Selective Cell-Active Inhibitor of Protein Arginine Methyltransferase 5 (PRMT5) for the Treatment of Prostate Cancer by Structure-Based Virtual Screening.

TongXiang Diao, Chen Feng, Shuai Liu, Jia-Li Song, Kong-Kai Zhu, Cheng-Shi Jiang, Qiang Fu

Abstract read
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Article in Chemical biology & drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

TongXiang DiaoDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Chen FengDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Shuai LiuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Jia-Li SongSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, China.
Kong-Kai ZhuSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, China.
Cheng-Shi JiangSchool of Biological Science and Technology, University of Jinan, Jinan, Shandong, China.
Qiang FuDepartment of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

Key Technology Research and Development Program of Shandong Province 2019GSF108043National Natural Science Foundation of China 81803438Natural Science Foundation of Shandong Province ZR2020MB103Natural Science Foundation of Shandong Province ZR2021QH366Natural Science Foundation of Shandong Province ZR2023QH325
6 · The paper itself

Abstract

Protein arginine methyltransferase 5 (PRMT5) is an epigenetic-related enzyme that has been shown to be a promising target for the treatment of human cancers. In prostate cancer, gene knockout has been shown to inhibit cancer cells by regulating the androgen receptor (AR), but this method has no effect on advanced prostate cancer without AR expression, and existing anticancer drugs are effective only in the current stage and promote the progression of cancer to advanced prostate cancer. We hope to design and synthesize a new compound that can inhibit prostate cancer at different stages. A series of candidate PRMT5 inhibitor molecules were designed on the basis of virtual molecular docking screening, and the binding mode was predicted via molecular docking simulation. Prostate cancer cell proliferation was detected by CCK-8, EdU, and flow assays, which verified the changes in the cancer cell cycle. Migration and invasion assays verified the effects of the compounds on the metastatic function of prostate cancer cells. Finally, Western blotting was used to detect the mechanism of action of the compounds in the treatment of prostate cancer. In prostate cancer, gene knockout has been shown to inhibit cancer cells by regulating the AR, but it has no effect on advanced prostate cancer without AR expression, and existing anticancer drugs are effective only in the current stage and promote the progression of cancer to advanced prostate cancer. SJL2-1 may be a promising compound for novel therapies for early androgen-sensitive prostate cancer and advanced castration-resistant prostate cancer (CRPC).

Indexed as

Antineoplastic AgentsEnzyme InhibitorsProstatic NeoplasmsProtein-Arginine N-MethyltransferasesBinding SitesCell Line, TumorCell MovementCell ProliferationDrug Screening Assays, AntitumorHumansMaleMolecular Docking SimulationAntineoplastic AgentsEnzyme InhibitorsPRMT5 protein, humanProtein-Arginine N-Methyltransferasesarginine methylationmolecular dockingPRMT5 inhibitorprostate cancervirtual screening

Identifiers

PMID40468526
PMCPMC12138182

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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.