ArticleBioinformatics and biology insights2026
Integrated Computational Profiling Links Position-specific O-Methylation to Spontaneous Complexation and Improved Binding in Flavonoid-HER2 Systems.
Article in Bioinformatics and biology insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human epidermal growth factor receptor 2-positive (HER2+) breast cancer is characterized by amplification and overexpression of HER2. This study used a computational workflow to identify O-methylated flavonoids with favorable binding to the HER2 kinase domain and to clarify their binding modes. Among the screened compounds, Eupatolitin, Rhamnetin, Annulatin, Laricitrin, and Sterubin showed the best predicted affinities, with docking scores ranging from -10.092 to -9.260 kcal/mol. Molecular dynamics simulations were then used to assess complex stability, and density functional theory was applied to examine the reactivity of the lead compounds. These analyses were intended for computational prioritization, and experimental validation is required to confirm HER2 inhibition and biological activity. Eupatolitin, which bears methoxy groups at C-6 and C-7, showed the strongest predicted binding, suggesting that 6,7-O-methylation may favor HER2 recognition. This observation prompted a comparison of four parent flavonoids with their 6,7-O-methylated analogues. Across quercetin, myricetin, luteolin, and eriodictyol, 6,7-O-methylation consistently strengthened predicted HER2 binding: docking scores improved by 0.27-0.57 kcal/mol and MM/GBSA ΔGbind improved by 6-10 kcal/mol relative to the parent compounds. In contrast, natural O-methylation at other positions did not enhance binding. Overall, these findings identify Eupatolitin, Rhamnetin, Annulatin, Laricitrin, and Sterubin as promising computational HER2 hits and support position-specific O-methylation at C-6 and C-7 as a useful strategy for optimizing flavonoid scaffolds for HER2 targeting, but experimental validation is required.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.