首页> 美国卫生研究院文献>Protein Science : A Publication of the Protein Society >Differentiation between transmembrane helices and peripheral helices by the deconvolution of circular dichroism spectra of membrane proteins.
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Differentiation between transmembrane helices and peripheral helices by the deconvolution of circular dichroism spectra of membrane proteins.

机译:通过对膜蛋白的圆二色性光谱进行反卷积来区分跨膜螺旋和周围螺旋。

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摘要

The interpretation of the circular dichroism (CD) spectra of proteins to date requires additional secondary structural information of the proteins to be analyzed, such as X-ray or NMR data. Therefore, these methods are inappropriate for a CD database whose secondary structures are unknown, as in the case of the membrane proteins. The convex constraint analysis algorithm (Perczel, A., Hollósi, M., Tusnády, G., & Fasman, G. D., 1991, Protein Eng. 4, 669-679), on the other hand, operates only on a collection of spectral data to extract the common spectral components with their spectral weights. The linear combinations of these derived "pure" CD curves can reconstruct the original data set with great accuracy. For a membrane protein data set, the five-component spectra so obtained from the deconvolution consisted of two different types of alpha helices (the alpha helix in the soluble domain and the alpha T helix, for the transmembrane alpha helix), a beta-pleated sheet, a class C-like spectrum related to beta turns, and a spectrum correlated with the unordered conformation. The deconvoluted CD spectrum for the alpha T helix was characterized by a positive red-shifted band in the range 195-200 nm (+95,000 deg cm2 dmol-1), with the intensity of the negative band at 208 nm being slightly less negative than that of the 222-nm band (-50,000 and -60,000 deg cm2 dmol-1, respectively) in comparison with the regular alpha helix, with a positive band at 190 nm and two negative bands at 208 and 222 nm with magnitudes of +70,000, -30,000, and -30,000 deg cm2 dmol-1, respectively.
机译:迄今为止,对蛋白质的圆二色性(CD)光谱的解释需要其他待分析蛋白质的二级结构信息,例如X射线或NMR数据。因此,这些方法不适用于其二级结构未知的CD数据库,例如膜蛋白的情况。另一方面,凸约束分析算法(Perczel,A.,Hollósi,M.,Tusnády,G.,&Fasman,GD,1991,Protein Eng。4,669-679)仅在光谱集合上运行数据以提取其频谱权重的公共频谱分量。这些导出的“纯” CD曲线的线性组合可以非常准确地重建原始数据集。对于膜蛋白数据集,从反卷积中获得的五组分光谱由两种不同类型的α螺旋组成(可溶域中的α螺旋和跨膜α螺旋中的αT螺旋),β折叠表中,一个与β转弯相关的类C类光谱,以及一个与无序构象相关的光谱。 αT螺旋的去卷积CD光谱的特征是在195-200 nm(+95,000 deg cm2 dmol-1)范围内出现正红移带,而在208 nm处负带的强度比负带的强度略小与常规α螺旋相比,222 nm波段(分别为-50,000和-60,000 deg cm2 dmol-1)的光谱带,正带为190 nm,两个负带为208和222 nm,幅度为+70,000分别为-30,000和-30,000 deg cm2 dmol-1。

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