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本文引用的文献

1
Comparison of the magnetic properties of deoxy- and photodissociated myoglobin.脱氧肌红蛋白与光解离肌红蛋白磁性特性的比较。
Proc Natl Acad Sci U S A. 1984 Apr;81(8):2359-63. doi: 10.1073/pnas.81.8.2359.
2
Electron paramagnetic resonance- (EPR-) resolved kinetics of cryogenic nitric oxide recombination to cytochrome c oxidase and myoglobin.低温下一氧化氮与细胞色素c氧化酶和肌红蛋白重组的电子顺磁共振(EPR)解析动力学
Biophys J. 1984 Feb;45(2):473-9. doi: 10.1016/S0006-3495(84)84171-5.
3
Multiple frequency EPR studies on three forms of oxidized cytochrome c oxidase.
Biochim Biophys Acta. 1983 Oct 17;748(1):73-85. doi: 10.1016/0167-4838(83)90029-8.
4
The nature of CuA in cytochrome c oxidase.细胞色素c氧化酶中铜A的性质。
J Biol Chem. 1982 Oct 25;257(20):12106-13.
5
Conformations of oxidized cytochrome c oxidase.氧化型细胞色素c氧化酶的构象
Biochemistry. 1981 Jun 23;20(13):3912-21. doi: 10.1021/bi00516a039.
6
Fine structure of iron ion in deoxymyoglobin and deoxyhemoglobin.脱氧肌红蛋白和脱氧血红蛋白中铁离子的精细结构。
Biochim Biophys Acta. 1971 Apr 27;236(1):222-33. doi: 10.1016/0005-2795(71)90169-3.
7
Syntheses of ferrous-porphyrin complexes. A hypothetical model for deoxymyoglobin.亚铁卟啉配合物的合成。脱氧肌红蛋白的一个假设模型。
J Am Chem Soc. 1973 Mar 21;95(6):2048-9. doi: 10.1021/ja00787a075.
8
Paramagnetic anisotropy measurements on a single crystal of deoxyhemoglobin.对脱氧血红蛋白单晶进行的顺磁各向异性测量。
Biochim Biophys Acta. 1972 Sep 29;278(2):355-71. doi: 10.1016/0005-2795(72)90240-1.
9
Studies of the heme components of cytochrome c oxidase by EPR spectroscopy.利用电子顺磁共振波谱对细胞色素c氧化酶的血红素成分进行的研究。
Biochim Biophys Acta. 1969 Sep 16;189(1):1-24. doi: 10.1016/0005-2728(69)90219-9.
10
Rebinding and relaxation in the myoglobin pocket.肌红蛋白口袋中的再结合与松弛
Biophys Chem. 1987 May 9;26(2-3):337-55. doi: 10.1016/0301-4622(87)80034-0.

铁蛋白的整数自旋电子顺磁共振

Integer-spin electron paramagnetic resonance of iron proteins.

作者信息

Hendrich M P, Debrunner P G

机构信息

Gray Freshwater Biological Institute, University of Minnesota, Navarre 55392.

出版信息

Biophys J. 1989 Sep;56(3):489-506. doi: 10.1016/S0006-3495(89)82696-7.

DOI:10.1016/S0006-3495(89)82696-7
PMID:2551404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1280502/
Abstract

A quantitative interpretation is presented for EPR spectra from integer-spin metal centers having large zero-field splittings. Integer-spin, or non-Kramers, centers are common in metalloproteins and many give EPR signals, but a quantitative understanding has been lacking until now. Heterogeneity of the metal's local environment will result in a significant spread in zero-field splittings and in broadened EPR signals. Using the spin Hamiltonian Hs = S.D.S + beta S.g.B and some simple assumptions about the nature of the zero-field parameter distributions, a lineshape model was devised which allows accurate simulation of single crystal and frozen solution spectra. The model was tested on single crystals of magnetically dilute ferrous fluosilicate. Data and analyses from proteins and active-site models are presented with the microwave field B1 either parallel or perpendicular to B. Quantitative agreement of observed and predicted signal intensities is found for the two B1 orientations. Methods of spin quantitation are given and are shown to predict an unknown concentration relative to a standard with known concentration. The fact that the standard may be either a non-Kramers or a Kramers center is further proof of the model's validity. The magnitude of the splitting in zero magnetic field is of critical importance; it affects not only the chance of signal observation, but also the quantitation accuracy. Experiments taken at microwave frequencies of 9 and 35 GHz demonstrate the need for high-frequency data as only a fraction of the molecules give signals at 9 GHz.

摘要

本文对具有大零场分裂的整数自旋金属中心的电子顺磁共振(EPR)谱进行了定量解释。整数自旋中心,即非克莱默斯中心,在金属蛋白中很常见,许多都会产生EPR信号,但直到现在仍缺乏定量的理解。金属局部环境的异质性将导致零场分裂的显著分散和EPR信号的展宽。利用自旋哈密顿量Hs = S.D.S + βS.g.B以及关于零场参数分布性质的一些简单假设,设计了一种线形模型,该模型能够精确模拟单晶和冷冻溶液谱。该模型在磁性稀释的氟硅酸亚铁单晶上进行了测试。给出了蛋白质和活性位点模型的数据及分析,其中微波场B1平行或垂直于B。对于两种B1取向,观察到的和预测的信号强度都有定量的一致性。给出了自旋定量方法,并表明该方法可以相对于已知浓度的标准物预测未知浓度。标准物可以是一个非克莱默斯中心或一个克莱默斯中心这一事实进一步证明了该模型的有效性。零磁场中分裂的大小至关重要;它不仅影响信号观测的机会,还影响定量精度。在9 GHz和35 GHz微波频率下进行的实验表明需要高频数据,因为在9 GHz时只有一小部分分子会产生信号。