Unidad de Fisicoquímica, Universidad Nacional de Quilmes/CONICET, Bernal, Argentina.
Lionix Evolve, San Pedro, Costa Rica.
J Comput Chem. 2022 Mar 5;43(6):391-401. doi: 10.1002/jcc.26799. Epub 2021 Dec 28.
Dynamics of protein cavities associated with protein fluctuations and conformational plasticity is essential for their biological function. NMR ensembles, molecular dynamics (MD) simulations, and normal mode analysis (NMA) provide appropriate frameworks to explore functionally relevant protein dynamics and cavity changes relationships. Within this context, we have recently developed analysis of null areas (ANA), an efficient method to calculate cavity volumes. ANA is based on a combination of algorithms that guarantees its robustness against numerical differentiations. This is a unique feature with respect to other methods. Herein, we present an updated and improved version that expands it use to quantify changes in cavity features, like volume and flexibility, due to protein structural distortions performed on predefined biologically relevant directions, for example, directions of largest contribution to protein fluctuations (principal component analysis [PCA modes]) obtained by MD simulations or ensembles of NMR structures, collective NMA modes or any other direction of motion associated with specific conformational changes. A web page has been developed where its facilities are explained in detail. First, we show that ANA can be useful to explore gradual changes of cavity volume and flexibility associated with protein ligand binding. Secondly, we perform a comparison study of the extent of variability between protein backbone structural distortions, and changes in cavity volumes and flexibilities evaluated for an ensemble of NMR active and inactive conformers of the epidermal growth factor receptor structures. Finally, we compare changes in size and flexibility between sets of NMR structures for different homologous chains of dynein.
与蛋白质波动和构象可塑性相关的蛋白质腔动力学对于它们的生物功能至关重要。NMR 集合、分子动力学 (MD) 模拟和正常模式分析 (NMA) 为探索与功能相关的蛋白质动力学和腔变化关系提供了适当的框架。在这种情况下,我们最近开发了一种分析空区 (ANA) 的方法,这是一种计算腔体积的有效方法。ANA 基于算法的组合,保证了其对数值微分的稳健性。与其他方法相比,这是一个独特的特点。本文介绍了一个经过更新和改进的版本,它扩展了其用途,可以量化由于蛋白质结构扭曲而导致的腔特征变化,例如体积和灵活性,这些扭曲是在预定义的生物学相关方向上进行的,例如对蛋白质波动贡献最大的方向(通过 MD 模拟或 NMR 结构集合、集体 NMA 模式或与特定构象变化相关的任何其他运动方向获得的主成分分析 [PCA 模式])。已经开发了一个网页,详细解释了其功能。首先,我们表明 ANA 可用于探索与蛋白质配体结合相关的腔体积和灵活性的逐渐变化。其次,我们对表皮生长因子受体结构的 NMR 活性和非活性构象集合进行了结构扭曲和腔体积与灵活性变化之间的变异性程度比较研究。最后,我们比较了不同同源神经动力蛋白链的 NMR 结构集合之间的大小和灵活性变化。