Evidence map›Paper›PMID 42693657›Full record

ArticleChemical biology & drug design2026

Discovery of ERα-Targeting Phytochemicals With In Vitro Cytotoxicity and Computational Prediction of Y537S Mutant Inhibition.

Dejun Jiang, Oh Wook Kwon, Hanbin Joe, Euijeong Shin, Sungjoon Cho, Hyuk-Ku Kwon, Youngjin Choi

Abstract read
In one paragraph

Article in Chemical biology & drug design, 2026. 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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0citing papers in PubMed
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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

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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

7 authors.

Dejun JiangDepartment of Environmental Engineering, Hoseo University, Asan, Republic of Korea.ORCID https://orcid.org/0009-0000-7408-8488
Oh Wook KwonPet-Loss Center, Hoseo University, Asan, Republic of Korea.
Hanbin JoeDepartment of Food Science & Technology, Hoseo University, Asan, Republic of Korea.
Euijeong ShinDepartment of Food Science & Technology, Hoseo University, Asan, Republic of Korea.
Sungjoon ChoDepartment of Bio-Applied Toxicology, Hoseo University, Asan, Republic of Korea.
Hyuk-Ku KwonDepartment of Environmental Engineering, Hoseo University, Asan, Republic of Korea.
Youngjin ChoiDepartment of Food Science & Technology, Hoseo University, Asan, Republic of Korea.ORCID https://orcid.org/0000-0001-9071-1524

Funding

National Research Foundation of Korea RS-2021-NR066286
6 · The paper itself

Abstract

Breast cancer is known as a frequently diagnosed malignancy in women. Over 70% of cases express estrogen receptor α (ERα). The activation of ERα promotes tumor proliferation and progression. Furthermore, mutations in ERα lead to acquired resistance against standard endocrine therapies such as tamoxifen. The induced resistance posed a significant clinical challenge in metastatic breast cancer. In this study, research for identifying novel, naturally derived compounds to inhibit the Y537S-mutated ERα was conducted using in silico methods supported by an in vitro cytotoxicity screen. Molecular docking and molecular dynamics simulations served as the primary in silico screening strategies. The top 2% of candidates were filtered from a docking screen of the IBS natural library composed of over 15,000 chemicals. From this group, 11 compounds were purchased and tested using a cell-based cytotoxicity assay in MCF-7 before advancing to detailed simulations. Five candidates were then advanced to 150 ns MD simulations. A post-MD analysis followed, including MM-PBSA binding free energy calculations and principal component analysis (PCA). The phytochemical ibs-04156 was identified as the most promising overall candidate, predicted to maintain consistent stability across both the wild-type and Y537S-mutated ERα, while ibs-18821 demonstrated potent mutant-specific inhibition via an allosteric mechanism involving spatial deviations in distal helices H3 and H11. This result shows that mutated ERα can be potentially targeted by bioactive phytochemical scaffolds found through molecular modeling, presenting a potential therapeutic strategy for metastatic breast cancer resistant to therapies such as tamoxifen.

Indexed as

Estrogen Receptor alphaPhytochemicalsBinding SitesBreast NeoplasmsFemaleHumansMCF-7 CellsMolecular Docking SimulationMolecular Dynamics SimulationMutationThermodynamicsESR1 protein, humanEstrogen Receptor alphaPhytochemicalsbreast cancercytotoxicityestrogen receptor alphamolecular dynamics simulationsphytochemicalsY537S mutation

Identifiers

PMID42693657
PMCPMC13542627

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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.