ArticleJournal of molecular modeling2025
Molecular docking of Cu(II) and Zn(II) complexes for tyrosinase inhibition and drug loading on boron nitride nanotube scaffolds using Monte Carlo simulations.
Article in Journal of molecular modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Synthesis of pH-sensitive hydrogel beads for controlled delivery of ketorolac tromethamine: computational evaluation and in vivo pharmacokinetic study.International journal of pharmaceutics: X · 2025Article
- Genome-wide identification of key genes related to chloride ion (ClBMC genomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
contextRecent studies on drug delivery systems incorporating boron nitride nanostructures (BNNTs) highlight their excellent chemical stability and non-cytotoxic properties, positioning them as a promising platform for drug release in biomedical applications. This study aimed to optimize the mono-nuclear structures of Cu(II) and Zn(II) complexes and to functionalize zigzag (13, 13) boron nitride nanotubes with glutamic acid (GABNNTs). Based on Monte Carlo, the results revealed that complexes 6 and 19 exhibited stronger interactions with GABNNTs, attributed to π-π stacking between bipyridine/phenanthroline ligands and GABNNTs. This interaction suggests a greater challenge in their release compared to other compounds. The interaction energy analysis further revealed that complexes 1, 4, and 12/GABNNTs exhibited the lowest stability, indicating weaker binding interactions between these complexes and the GABNNT surface. The adsorption of all complexes on GABNNTs was primarily found to be physisorption. Molecular docking with mushroom tyrosinase (2Y9X) identified complexes 5, 10, 11, 15, and 20 as having the strongest interactions, a trend that is partially supported by chemical hardness analysis. However, DFT-D results indicated that complexes 5, 11, and 20 exhibited the lowest chemical stability, suggesting a trade-off between strong interactions and lower stability in these complexes.
methodsThe energies of these systems were estimated using dispersion-corrected density functional theory (DFT-D) calculations performed in Materials Studio 2017. To evaluate the drug delivery potential of GABNNTs for Cu(II) and Zn(II) complexes, the Monte Carlo (MC) method was employed. The structural and electronic properties, as well as the relationship between biological activities and ΔE
Indexed as
Identifiers
40192849What 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.