STOPGAP: an open-source package for template matching, subtomogram alignment and classification.
Acta Crystallogr D Struct Biol
; 80(Pt 5): 336-349, 2024 May 01.
Article
en En
| MEDLINE
| ID: mdl-38606666
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Algoritmos
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Programas Informáticos
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Microscopía por Crioelectrón
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Tomografía con Microscopio Electrónico
Idioma:
En
Revista:
Acta Crystallogr D Struct Biol
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos