纯氮化硼纳米锥与pt修饰氮化硼纳米锥作为亚硝基脲类抗癌药物纳米载体的DFT研究

IF 3 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Yousef A. Bin Jardan , Fadhel.F. Sead , Dharmesh Sur , Suhas Ballal , Abhayveer Singh , T. Krithiga , Aziz Kubaev , Subhashree Ray , Mounir M. Bekhit
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引用次数: 0

摘要

本研究利用周期性离散傅里叶变换分析了铂包被的BN纳米锥(BNC)和纳米锥在亚硝基脲类抗癌药物(NU)检测和给药中的有效性。研究考察了药物分子如何吸附和影响底物的结构和电子特性。通过吸附能分析NU与纯BNC表面的相互作用,发现其相互作用相对较弱。最稳定的NU@Pt-BNC配合物在气相和水相的吸附能分别为- 1.88 eV和- 2.89 eV。研究还考察了药物的溶解能力,以及表面和复合物在水溶液中的溶解能力。此外,还进行了模拟,模拟药物在酸性环境中从接近靶细胞的底物中释放出来。Pt-BNC底物是一种很有前途的NU抗癌药物载体和传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

DFT study of pure and Pt-decorated BN nanocone as a nanocarrier for nitrosourea anticancer drug

DFT study of pure and Pt-decorated BN nanocone as a nanocarrier for nitrosourea anticancer drug
In this current study, the effectiveness of both the Pt-coated BN nanocone (BNC) and pristine in detecting and drug delivery of nitrosourea anticancer (NU) drugs were analyzed using periodic DFT. Research examines how the drug molecules adsorb and affect structural and electronic features of substrate. Analysis of interaction between NU and pure BNC surface, as suggested by the adsorption energy, reveals a relatively weak interaction. The adsorption energies in gas and water phases for the most stable NU@Pt-BNC complex are −1.88 eV and −2.89 eV, respectively. Study also investigated drug's ability to dissolve, along with that of surface and complexes, in an aqueous solvent. Additionally, simulations were conducted to model release of the drug from the substrate in close proximity to target cells within an acidic environment. A Pt-BNC substrate could be suggested as a promising carrier and sensor for NU anticancer medications.
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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