种姓
材料科学
MTT法
密度泛函理论
核化学
化学
计算化学
细胞生长
生物化学
作者
Rahime Eshaghi Malekshah,Bahareh Fahimirad,Mohammadreza Aallaei,Ali Khaleghian
出处
期刊:Drug Delivery
[Taylor & Francis]
日期:2020-01-01
卷期号:27 (1): 1201-1217
被引量:39
标识
DOI:10.1080/10717544.2020.1801890
摘要
Superparamagnetic iron oxide nanoparticles have been synthesized using chain length of (3-aminopropyl) triethoxysilane for cancer therapy. First, we have developed a layer by layer functionalized with grafting 2,4‐toluene diisocyanate as a bi‐functional covalent linker onto a nano-Fe3O4 support. Then, they were characterized by Fourier transform infrared, X-ray powder diffraction, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, and VSM techniques. Finally, all nanoparticles with positive or negative surface charges were tested against K562 (myelogenous leukemia cancer) cell lines to demonstrate their therapeutic efficacy by MTT assay test. We found that the higher toxicity of Fe3O4@SiO2@APTS ∼ Schiff base-Cu(II) (IC50: 1000 μg/mL) is due to their stronger in situ degradation, with larger intracellular release of iron ions, as compared to surface passivated NPs. For first time, the molecular dynamic simulations of all compounds were carried out afterwards optimizing using MM+, Semi-empirical (AM1) and Ab-initio (STO-3G), Forcite Gemo Opt, Forcite Dynamics, Forcite Energy and CASTEP in Materials studio 2017. The energy (eV), space group, lattice parameters (Å), unit cell parameters (Å), and electron density of the predicted structures were taken from the CASTEP module of Materials Studio. The docking methods were used to predict the DNA binding affinity, ribonucleotide reductase, and topoisomerase II.
科研通智能强力驱动
Strongly Powered by AbleSci AI