2024Wan StopGap

Citation

Wan, William / Khavnekar, Sagar / Wagner, Jonathan. STOPGAP: an open-source package for template matching, subtomogram alignment and classification. 2024. Acta Crystallographica Section D: Structural Biology, Vol. 80, No. 5

Abstract

Cryo-electron tomography (cryo-ET) enables molecular-resolution 3D imaging of complex biological specimens such as viral particles, cellular sections and, in some cases, whole cells. This enables the structural characterization of molecules in their near-native environments, without the need for purification or separation, thereby preserving biological information such as conformational states and spatial relationships between different molecular species. Subtomogram averaging is an image-processing workflow that allows users to leverage cryo-ET data to identify and localize target molecules, determine high-resolution structures of repeating molecular species and classify different conformational states. Here, STOPGAP, an open-source package for subtomogram averaging that is designed to provide users with fine control over each of these steps, is described. In providing detailed descriptions of the image-processing algorithms that STOPGAP uses, this manuscript is also intended to serve as a technical resource to users as well as for further community-driven software development.

Links

https://journals.iucr.org/d/issues/2024/05/00/vo5015/