Determining structures in a native environment using single-particle cryoelectron microscopy images

Graphical abstract

Cryo-electron tomography is a powerful tool for structure determination in the native environment. However, this method requires the acquisition of tilt series, which is time-consuming and severely slows structure determination. By treating the densities of non-target protein as non-Gaussian noise, we developed a new target function that greatly improves the efficiency of recognizing the target protein in a single cryo-electron microscopy image. Moreover, we developed a sorting function that effectively eliminates the model dependence and improved the resolution during the subsequent structure refinement procedure.

DOI:
https://doi.org/10.1016/j.xinn.2021.100166

Citation:
Cheng J., Li B., Si L., et al. (2021). Determining structures in a native environment using single-particle cryo-electron microscopy images. The Innovation. 2(4),100166.