探索纳米颗粒的物理化学特性和细胞损伤之间的关系,以利用简单的基于周期表的描述器来对抗癌症生长
1Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700032, India.
Beilstein journal of nanotechnology
|March 20, 2024
概括
定量结构-属性关系 (QSPR) 模型预测纳米材料的特性和毒性. 这项研究将泽塔潜力和其他描述因子与癌细胞的氧化损伤联系起来,有助于更安全的纳米材料设计.
科学领域:
- 材料科学 材料科学 材料科学
- 毒理学 毒理学 毒理学
- 计算化学计算化学
背景情况:
- 纳米材料 (NM) 越来越多地用于治疗,但它们的细胞毒性需要仔细评估.
- 了解NM特性与生物效应之间的关系对于安全设计至关重要.
- 纳米规模的定量结构与属性关系 (nano-QSPR) 模型提供了一个预测方法.
研究的目的:
- 开发验证的QSPR模型,用于估计金属氧化物 (MeOx) NMs. zeta潜力.
- 为了研究泽塔潜力和其他描述物的影响NM诱导的癌细胞细胞损伤.
- 为更安全的MeOx NM设计和评估建立结构毒性关系.
主要方法:
- 使用基于周期表的描述符对18 MeOx NMs进行了QSPR建模,以确定材料特性.
- 利用所获得的特征来对缺少数据的MeOx NMs中zeta潜力进行归算.
- 开发了一种使用132 MeOx NMs的QSPR模型,以与细胞损伤机制相关联zeta潜力.
主要成果:
- 确定了泽塔潜力和其他七个描述符作为影响氧化损伤的关键特征.
- 证明这些描述因子有助于自由基的积累,影响癌症细胞的存活.
- 已建立的定量结构-活性关系 (QSAR) 模型将NM结构与生物毒性影响联系起来.
结论:
- 泽塔潜力是MeOx NMs细胞毒性的关键因素.
- QSPR和QSAR模型为预测和减轻NM毒性提供了宝贵的见解.
- 这些发现支持开发更安全的MeOx NMs用于治疗应用.
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