A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM.

ABSTRACT: Structure determination of proteins and macromolecular complexes by single-particle cryo-electron microscopy (cryo-EM) is poised to revolutionize structural biology. An early challenging step in the cryo-EM pipeline is the detection and selection of particles from two-dimensional micrographs (particle picking). Most existing particle-picking methods require human intervention to deal with complex (irregular) particle shapes and extremely low signal-to-noise ratio (SNR) in cryo-EM images. Here, we design a fully automated super-clustering approach for single particle picking (SuperCryoEMPicker) in cryo-EM micrographs, which focuses on identifying, detecting, and picking particles of the complex and irregular shapes in micrographs with extremely low signal-to-noise ratio (SNR). Our method fi

SUBMITTER: Al-Azzawi A 

PROVIDER: S-EPMC6770523 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature