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Piroxicam derivatives THz classification

机译:吡罗昔康衍生物太赫兹分类

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摘要

In this paper we report a new approach to linking the terahertz spectral shapes of drug candidates having a similar molecular structure to their chemical and physical parameters. We examined 27 newly-synthesized derivatives of a well-known non-steroidal anti-inflammatory drug Piroxicam used for treatment of inflammatory arthritis and chemoprevention of colon cancer. The testing was carried out by means of terahertz pulsed spectroscopy (TPS). Using chemometric techniques we evaluated their spectral similarity in the terahertz range and attempted to link the position on the principal component analysis (PCA) score map to the similarity of molecular descriptors. A simplified spectral model preserved 75% and 85.1% of the variance in 2 and 3 dimensions respectively, compared to the input 1137. We have found that in 85% of the investigated samples a similarity of the physical and chemical parameters corresponds to a similarity in the terahertz spectra. The effects of data preprocessing on the generated maps are also discussed. The technique presented can support the choice of the most promising drug candidates for clinical trials in pharmacological research.
机译:在本文中,我们报告了一种将具有相似分子结构的候选药物的太赫兹光谱形状链接到其化学和物理参数的新方法。我们检查了用于治疗炎症性关节炎和化学预防结肠癌的一种著名的非甾体抗炎药吡罗昔康的27种新合成衍生物。该测试是通过太赫兹脉冲光谱法(TPS)进行的。使用化学计量学技术,我们评估了它们在太赫兹范围内的光谱相似性,并尝试将主成分分析(PCA)得分图上的位置与分子描述符的相似性联系起来。与输入1137相比,简化的光谱模型在2维和3维上分别保留了75%和85.1%的方差。我们发现,在85%的调查样本中,物理和化学参数的相似性对应于输入参数1137的相似性。太赫兹光谱。还讨论了数据预处理对生成的地图的影响。提出的技术可以支持药理学研究中最有希望的候选药物用于临床试验的选择。

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