Mach H, Middaugh C R
Department of Pharmaceutical Research, Merck Research Laboratories, West Point, Pennsylvania 19486.
Anal Biochem. 1994 Nov 1;222(2):323-31. doi: 10.1006/abio.1994.1499.
A method for deconvolution of the near-uv second-derivative spectra of proteins into their component tryptophan, tyrosine, and phenylalanine spectra is described. In this approach, the second-derivative spectra of tryptophan and tyrosine model compounds are numerically shifted to create a set of reference spectra corresponding to anticipated peak positions in protein environments of different polarity. The relative contributions of these individual standard spectra are varied until the best fit to the experimental protein spectrum is obtained. Separate addition of tryptophan and tyrosine standard spectra, weighted by their contributions as determined in the fitting procedure, yields an accurate representation of the spectra of these residues in proteins. The position of the intersection of these spectra with the wavelength axis is used as a measure of spectral position in ethylene glycol perturbation experiments in which the average solvent accessibility is assessed by relating the observed shifts in the tryptophan and tyrosine spectra to the shifts observed for corresponding model compounds. The phenylalanine peak positions in the set of 16 proteins studied are determined as described previously [H. Mach et al. (1991) Arch. Biochem. Biophys. 287, 33-40]. For all three aromatic residues in proteins, no consistent correlation between absolute spectral band positions and average solvent accessibility is observed, suggesting a significant influence of other local (e.g., electrostatic) effects on near-uv spectra of proteins. The maximum spectral shift observed between solvent-exposed model compounds and side chains entirely buried in apolar protein core was found to be approximately 5 nm for tyrosine, 4 nm for tryptophan, and 2 nm for phenylalanine residues.
描述了一种将蛋白质的近紫外二阶导数光谱解卷积为其组成成分色氨酸、酪氨酸和苯丙氨酸光谱的方法。在这种方法中,色氨酸和酪氨酸模型化合物的二阶导数光谱通过数值移位来创建一组对应于不同极性蛋白质环境中预期峰位置的参考光谱。改变这些单个标准光谱的相对贡献,直到获得与实验蛋白质光谱的最佳拟合。分别添加色氨酸和酪氨酸标准光谱,并根据拟合过程中确定的贡献进行加权,可准确表示这些残基在蛋白质中的光谱。在乙二醇扰动实验中,这些光谱与波长轴的交点位置用作光谱位置的度量,在该实验中,通过将色氨酸和酪氨酸光谱中观察到的位移与相应模型化合物观察到的位移相关联来评估平均溶剂可及性。在所研究的16种蛋白质中,苯丙氨酸的峰位置如先前所述确定[H. Mach等人(1991年)《生物化学与生物物理学报》287, 33 - 40]。对于蛋白质中的所有三种芳香族残基,未观察到绝对光谱带位置与平均溶剂可及性之间的一致相关性,这表明其他局部(例如静电)效应对蛋白质的近紫外光谱有显著影响。发现溶剂暴露的模型化合物与完全埋在非极性蛋白质核心中的侧链之间观察到的最大光谱位移,酪氨酸约为5 nm,色氨酸为4 nm,苯丙氨酸残基为2 nm。