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

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. By eliminating model bias, our method allows using homolog proteins as models to recognize the target proteins in a complex context. Together, we developed an in situ sin

SUBMITTER: Cheng J 

PROVIDER: S-EPMC8488058 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature