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On September 8, 2021, " The Innovation " magazine published online the research result "Determining structures in a native environment using single-particle cryo-electron microscopy images" of the Zhang Xinzheng group of the Institute of Biophysics, Chinese Academy of Sciences
.
This work is a new method of protein identification in superimposed density developed after the block reconstruction algorithm ( Nat Commun 9, 1552) developed in 2018 to achieve structural optimization in the superimposed density of proteins, and the algorithm is extended to In-situ structural analysis
At present, the structural analysis of cryo-electron microscopy in complex biological environments is mainly based on electron tomography (cryo-ET)
.
Cryo-ET needs to tilt the sample stage to collect sequence tilting data from different angles, and the throughput is very low.
For samples in a complex biological environment, the density of the target protein in the cryo-EM image overlaps with the density of other surrounding proteins.
Based on this, this research develops a protein recognition algorithm and derives the optimal weight of the detection function.
The new function improves the efficiency of detecting the target protein in the superimposed density
.
Combining the sorting function to reduce the false positive data introduced by the protein recognition algorithm, effectively reduce the impact of model deviation, and achieve high-resolution reconstruction (Figure 1)
Figure 1.
Structural analysis of membrane proteins on liposomes
Researcher Zhang Xinzheng from the Institute of Biophysics of the Chinese Academy of Sciences is the corresponding author of this article.
Doctoral student Cheng Jing in the Zhang Xinzheng group is the first author of this article.
This research work has made contributions
.
This work was funded by the National Natural Science Foundation of China
Article link: https://
(Contribution: Zhang Xinzheng Research Group)
