...
首页> 外文期刊>Open Chemistry >The thermodynamic dissociation constants of methotrexate by the nonlinear regression and factor analysis of multiwavelength spectrophotometric pH-titration data
【24h】

The thermodynamic dissociation constants of methotrexate by the nonlinear regression and factor analysis of multiwavelength spectrophotometric pH-titration data

机译:多波长分光光度法pH滴定数据的非线性回归和因子分析的氨甲蝶呤热力学解离常数

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The mixed dissociation constants of methotrexate — chemically (2S)-2-[(4-{[(2,4-diamino-7,8-dihydropteridin-6-yl)methyl] (methyl)amino}phenyl)formamido]pentanedioic acid (the cas number 59-05-2) at various ionic strengths I of range 0.01–0.4, and at temperatures of 25°C and 37°C, were determined with the use of two different multiwavelength and multivariate treatments of spectral data, SPECFIT32 and SQUAD(84) nonlinear regression analyses and INDICES factor analysis according to a general rule of first, determining the number of components, and then calculating the spectral responses and concentrations of the components. Concurrently, the experimental determination of the thermodynamic dissociation constants was in agreement with its computational prediction of the PALLAS programme based on knowledge of the chemical structures of the drug. The factor analysis in the INDICES programme predicts the correct number of light-absorbing components when the data quality is high and the instrumental error is known. Three thermodynamic dissociation constants were estimated by nonlinear regression of {pK a , I} data: for methotrexate pK a1T= 2.895(13), pK a2T= 4.410(14), pK a3T= 5.726(15) at 25°C and pK a1T= 3.089(15), pK a2T= 4.392(12), pK a3T= 5.585(11) at 37°C, where the figure in brackets is the standard deviation in last significant digits. The reliability of the dissociation constants of the drug were proven by conducting goodness-of-fit tests of the multiwavelength spectrophotometric pH-titration data.
机译:甲氨蝶呤的化学-(2S)-2-[(4-{[(2,4-二氨基-7,8-二氢蝶呤-6-基)甲基](甲基)氨基}苯基)甲酰胺基]戊二酸的混合解离常数(CAS号59-05-2)在0.01–0.4范围内的各种离子强度I下以及在25°C和37°C的温度下,使用两种不同的光谱数据多波长和多变量处理方法SPECFIT32确定和SQUAD(84)非线性回归分析和INDICES因子分析,首先要遵循以下一般规则:确定组分的数量,然后计算光谱响应和组分的浓度。同时,热力学解离常数的实验确定与基于药物化学结构知识对PALLAS程序的计算预测相一致。当数据质量高且已知仪器误差时,INDICES程序中的因子分析可预测光吸收组件的正确数量。通过{pK a,I}数据的非线性回归估计了三个热力学解离常数:对于甲氨蝶呤pK a1T = 2.895(13),pK a2T = 4.410(14),pK a3T = 5.726(15)在25°C和pK a1T在37°C时= 3.089(15),pK a2T = 4.392(12),pK a3T = 5.585(11),其中括号中的数字是最后一位有效数字的标准偏差。通过对多波长分光光度法pH滴定数据进行拟合优度测试,证明了药物解离常数的可靠性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号