Institute of Physical and Theoretical Chemistry, Center of Biomolecular Magnetic Resonance, Goethe University, Max-von-Laue-Str. 7, D-60438 Frankfurt am Main, Germany.
Phys Chem Chem Phys. 2013 Jan 14;15(2):619-27. doi: 10.1039/c2cp42942j. Epub 2012 Nov 26.
Pulsed Electron-electron Double Resonance (PELDOR) is a method frequently used to determine the distances between paramagnetic centers in biomacromolecules on the nanometer scale. A standard algorithm for determination of distances from the experimental data assumes that all possible mutual orientations of the spin labels are equally probable. However, in many applications the mobility of the spin labels attached to large molecules can be significantly restricted. In order to determine the total PELDOR signal in this case, the individual contributions of each rigid biradical should be explicitly calculated for the given frequencies of the probe and pump pulses. The solution of the inverse problem of determination of the ensemble of molecular structures that fit the experimental PELDOR data acquired at multiple microwave frequencies and magnetic fields has proven to be a non-trivial task, especially, when no information about the molecular structure under study is available. In this work we present a fitting algorithm that reconstructs experimental data by searching for an optimal combination of presimulated PELDOR time traces for nitroxide biradicals with all relative orientations and with inter-spin distances in the experimentally accessible range. The generated library of PELDOR time traces has been employed to excellently fit experimental data containing orientation selection effects gathered on model biradical systems.
脉冲电子-电子双共振(PELDOR)是一种常用于在纳米尺度上确定生物大分子中顺磁中心之间距离的方法。用于从实验数据确定距离的标准算法假设自旋标记的所有可能相互取向的概率相等。然而,在许多应用中,连接到大分子的自旋标记的迁移率可能受到显著限制。为了在这种情况下确定总 PELDOR 信号,应该为给定的探针和泵浦脉冲频率,明确计算每个刚性双自由基的单独贡献。在没有关于所研究的分子结构的信息的情况下,证明了确定适合在多个微波频率和磁场下获取的实验 PELDOR 数据的分子结构总体的反问题的解决方案是一项非平凡的任务。在这项工作中,我们提出了一种拟合算法,通过搜索具有所有相对取向的预模拟的氮氧自由基双自由基和在实验可及范围内的自旋间距离的最佳组合,对实验数据进行重建。生成的 PELDOR 时间轨迹库已被用于非常好地拟合包含在模型双自由基系统上收集的取向选择效应的实验数据。