Computational study of the therapeutic properties of allicin and its nanocomplexes using DFT and molecular docking techniques

利用密度泛函理论和分子对接技术对大蒜素及其纳米复合物的治疗特性进行计算研究

阅读:2

Abstract

This study investigated the anti-inflammatory, anticancer, antiviral, and antibacterial effects of allicin and its complexes (Allicin/C₂₄, Allicin/B₁₂N₁₂, and Allicin/Al₁₂N₁₂) using advanced computational techniques such as Density Functional Theory (DFT), Quantum Theory of Atoms in Molecules (QTAIM), and molecular docking. The interactions were analyzed in two phases: gas and aqueous. Results revealed that the Allicin/Al₁₂N₁₂ complex exhibited the highest adsorption energy (Ead = -44.43 kcal/mol in the gas phase) and thermodynamic stability (ΔH = -44.36 kcal/mol, ΔG = -29.19 kcal/mol). QTAIM analysis revealed that the Allicin/C₂₄ complex involves very weak noncovalent interactions, the Allicin/B₁₂N₁₂ complex shows weak covalent bonding with considerable ionic character; and the Allicin/Al₁₂N₁₂ complex exhibits stronger covalent interactions with significant electron density sharing. The Allicin/Al₁₂N₁₂ complex showed a reduced energy gap (3.44 eV) and higher reactivity than free allicin (5.42 eV). Molecular docking demonstrated that this complex had the strongest binding affinity with biological targets, such as HER2, TNF-α, COVID-19 main protease, and Staphylococcus aureus. UV-Vis and IR spectroscopy revealed significant electronic and vibrational modifications in the complexes, particularly Allicin/Al₁₂N₁₂. These findings suggest that nanocages, especially Al₁₂N₁₂, can significantly enhance the stability, bioavailability, and therapeutic potential of allicin. The Allicin/Al₁₂N₁₂ complex, with its strong binding affinity and favorable electronic properties, has emerged as a promising candidate for treating cancer, inflammation, bacterial infections, and COVID-19. This study highlights the importance of natural products in drug discovery and the role of computational methods in understanding complex biological interactions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。