Unknown

Dataset Information

Extensive Angular Sampling Enables the Sensitive Localization of Macromolecules in Electron Tomograms.


ABSTRACT: Cryo-electron tomography provides 3D images of macromolecules in their cellular context. To detect macromolecules in tomograms, template matching (TM) is often used, which uses 3D models that are often reliable for substantial parts of the macromolecules. However, the extent of rotational searches in particle detection has not been investigated due to computational limitations. Here, we provide a GPU implementation of TM as part of the PyTOM software package, which drastically speeds up the orientational search and allows for sampling beyond the Crowther criterion within a feasible timeframe. We quantify the improvements in sensitivity and false-discovery rate for the examples of ribosome identification and detection. Sampling at the Crowther criterion, which was effectively impossible wit

SUBMITTER: Chaillet ML 

PROVIDER: S-EPMC10487639 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature