Centre for Integrative Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS-INSERM-UdS, 1 rue Laurent Fries, BP 10142, 67404 Illkirch, France.
Faculté des Sciences et Technologies, Université de Lorraine, BP 239, 54506 Vandoeuvre-lès-Nancy, France.
Int J Mol Sci. 2022 Oct 11;23(20):12101. doi: 10.3390/ijms232012101.
High-quality atomic models providing structural information are the results of their refinement versus diffraction data (reciprocal-space refinement), or versus experimental or experimentally based maps (real-space refinement). A proper real-space refinement can be achieved by comparing such a map with a map calculated from the atomic model. Similar to density distributions, the maps of a limited and even inhomogeneous resolution can also be calculated as sums of terms, known as atomic images, which are three-dimensional peaky functions surrounded by Fourier ripples. These atomic images and, consequently, the maps for the respective models, can be expressed analytically as functions of coordinates, atomic displacement parameters, and the local resolution. This work discusses the practical feasibility of such calculation for the real-space refinement of macromolecular atomic models.
高质量的原子模型提供结构信息,这些模型是通过对衍射数据(倒空间精修)或对实验或基于实验的图谱(实空间精修)进行精修得到的。通过将实验图谱与原子模型计算出的图谱进行比较,可以实现适当的实空间精修。类似于密度分布,有限的甚至不均匀分辨率的图谱也可以作为项的和来计算,这些项称为原子图像,它们是三维的峰状函数,周围环绕着傅里叶波纹。这些原子图像以及相应模型的图谱,可以解析地表示为坐标、原子位移参数和局部分辨率的函数。这项工作讨论了对于大分子原子模型的实空间精修,这种计算的实际可行性。