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Near infrared spectroscopic characterisation of secondary structure content of proteins

机译:蛋白质二级结构含量的近红外光谱表征

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Near infrared (NIR) spectroscopy was investigated as a non-destructive and rapid method to characterise the secondary structures of proteins in solid state. The absorption spectra of 11 reference proteins (0-46% α-helix, 6-73% β-sheet) were obtained using an Antaris NIR Analyser and quantitatively analysed using a chemometric software program to correlate the NIR spectral data to the secondary structure content obtained from X-ray crystallography and Raman spectroscopy. Simple linear regression analyses of the normalised second derivative NIR spectra indicated that 6289cm{sup}(-1) (R{sup}2 = 0.99, RMSEC=2.6) and 4602cm{sup}(-1) (R{sup}2=0.96, RMSEC=5.6) were highly sensitive wave number regions for β-sheet structure and the calibration models were highly predictive for three additional proteins which served as external validation standards (average error 2% and 3%, respectively). The second derivative NIR spectra at 4602cm{sup}(-1) was also found to be sensitive to α-helical content (R{sup}2 = 0.93, RMSEC=5.8) and predictive of the validation standards (average error 6%). The results demonstrate the potential of NIR spectroscopy as a rapid and non-invasive tool for quantification of secondary structure content of proteins in solid state.
机译:研究近红外(NIR)光谱是一种无损,快速的方法,用于表征固态蛋白质的二级结构。使用Antaris NIR分析仪获得11种参考蛋白(0-46%α-螺旋,6-73%β-折叠)的吸收光谱,并使用化学计量学软件程序进行定量分析以将NIR光谱数据与二级结构含量相关联从X射线晶体学和拉曼光谱学获得。对归一化的二阶导数NIR光谱进行简单的线性回归分析表明,6289cm {sup}(-1)(R {sup} 2 = 0.99,RMSEC = 2.6)和4602cm {sup}(-1)(R {sup} 2 = 0.96,RMSEC = 5.6)是对β-折叠结构的高度敏感波数区域,并且校准模型对于用作外部验证标准的三种其他蛋白质(平均误差分别为2%和3%)具有高度预测性。还发现在4602cm {sup}(-1)处的二阶NIR光谱对α螺旋含量敏感(R {sup} 2 = 0.93,RMSEC = 5.8)并预测验证标准(平均误差6%) 。结果证明了近红外光谱技术作为定量分析固态蛋白质二级结构含量的快速,无创工具的潜力。

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