量化结构-活性关系 (QSAR) 模拟使用回归分析对印莫他辛衍生物的模型
Neerja Shukla1, Bechan Sharma2
1Department of Chemistry, N.S.N.P.G. College, Lucknow, 226001, UP, India.
Current medicinal chemistry
|October 11, 2023
概括
这项研究开发了一种定量结构-活性关系 (QSAR) 模型,以预测印梅他辛衍生物的活性. 最好的模型确定了增强或降低药物的功效的特定分子描述剂,有助于设计新的抗炎药物.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 印米他辛是一种非类固醇抗炎药物 (NSAID),通过抑制前列腺素合成来降低发烧和疼痛.
- 了解印梅他辛衍生物的结构-活性关系对于开发更强大的类似物至关重要.
研究的目的:
- 开发一个定量结构-活性关系 (QSAR) 模型,用于印梅他辛衍生物.
- 确定影响这些化合物的抗炎活性的关键分子描述剂.
- 为了指导设计具有改善功能的新型印米他辛类比物.
主要方法:
- 分析了15种印梅他辛衍生物的物理化学和分子性质.
- 创建了2D和3D结构,并使用诸如Chem Sketch,E Dragon,CORINA和Gauss View等软件计算了各种拓和量子化学描述符.
- 进行了密度函数理论 (DFT) 计算,包括优化和振动频率分析.
主要成果:
- 开发了一个具有高统计意义 (R=0.921,R2=0.848) 的QSAR模型 (pIC50 = -20.605 IOR - 0.747 I1 - 5.083 Xeq + 51.647).
- 发现折射指数 (IOR) 和 Xeq 等描述因子对于活动建模具有重要意义.
- 包括维纳指数 (W),巴拉班中心指数 (BAC) 和分子连接性 (χ) 在内的描述符的组合是重要的.
结论:
- QSAR模型表明,较低的折射率和较少的负电子替代物有利于活动.
- 特定的功能组,如R1位置的CH2CH2NHCONH(CH2) 3ONO2,被发现是不利的.
- 经过验证的模型证明了可靠性和可预测性,为设计强效的印美他辛类型提供了有价值的工具.
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