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Relation between kinetic conversion rates and ANM mode frequencies

机译:动力学转化率与ANM模式频率之间的关系

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Elastic Network Models (ENMs) are informative, fast and largely used techniques for the elucidation of the intrinsic motions of the proteins. ENM normal modes resemble the conformational changes in the ligand-free states of the proteins. According to pre-existing equilibrium model the native state of the protein forms an ensemble of substates and ligand simply selects and shifts the population dynamics of the ensemble. In this study, we investigated the relation between normal mode frequencies and kinetic conversion rates of ensemble substates between each other.
机译:弹性网络模型(ENM)是信息丰富,快速且使用广泛的技术,用于阐明蛋白质的固有运动。 ENM正常模式类似于蛋白质的无配体状态的构象变化。根据预先存在的平衡模型,蛋白质的天然状态形成一个亚状态的整体,配体仅选择并改变该整体的种群动态。在这项研究中,我们研究了正常模式频率与彼此之间整体子状态的动力学转化率之间的关系。

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