Data-driven determination of number of discrete conformations in single-particle cryo-EM.

ABSTRACT:

Background and objective

One of the strengths of single-particle cryo-EM compared to other structural determination techniques is its ability to image heterogeneous samples containing multiple molecular species, different oligomeric states or distinct conformations. This is achieved using routines for in-silico 3D classification that are now well established in the field and have successfully been used to characterize the structural heterogeneity of important biomolecules. These techniques, however, rely on expert-user knowledge and trial-and-error experimentation to determine the correct number of conformations, making it a labor intensive, subjective, and difficult to reproduce procedure.

Methods

We propose an approach to address the problem of automatically determining th

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC10131080 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature