Evidence map›Paper›PMID 41524758›Full record

ArticleJournal of computer-aided molecular design2026

Structure-based drug design of small-molecule c-Myc G-quadruplex binders.

Jian Gao, Chenxi Xu, Renjie Hong, Guanghui Cheng, Pingting Jia

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In one paragraph

Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jian GaoThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China. gaojian@aust.edu.cn.ORCID 0000-0001-6723-0490
Chenxi XuThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China.
Renjie HongThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China.
Guanghui ChengThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China.
Pingting JiaThe First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), Huainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The c-Myc oncogene is crucial in tumorigenesis. Although it is a promising therapeutic target, its protein lacks a conventional drug-binding pocket, making it traditionally "undruggable". Recent studies show that the c-Myc promoter can form a G-quadruplex (G4) structure, which suppresses transcription and offers a new strategy for indirect inhibition. In this study, structure-based virtual screening was performed using the c-Myc G4 crystal structure to screen the ChemDiv compound library, aiming to identify small molecules that bind to the G4 structure. Candidate compounds were evaluated in preliminary in vitro assays for biological activity. The results showed that Y502-3888 binds to the c-Myc G4 and downregulates c-Myc expression at both mRNA and protein levels. Collectively, these findings support the potential of Y502-3888 as a c-Myc G4 binder for the treatment of multiple myeloma (MM), providing a foundation for future development of anticancer agents targeting the c-Myc G4.

Indexed as

Antineoplastic AgentsDrug DesignG-QuadruplexesMultiple MyelomaProto-Oncogene Proteins c-mycSmall Molecule LibrariesBinding SitesCell Line, TumorHumansMolecular Docking SimulationPromoter Regions, GeneticStructure-Activity RelationshipAntineoplastic AgentsMYC protein, humanProto-Oncogene Proteins c-mycSmall Molecule Librariesc-MycG-quadruplexMultiple myelomaVirtual screening

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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.