Advances in cryo-ET data processing: meeting the demands of visual proteomics.

Curr Opin Struct Biol

Department of Biochemistry, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Computer Science, Duke University, Durham, NC, 27708, USA; Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA. Electronic address:

Published: August 2024

Cryogenic electron tomography (cryo-ET), a method that enables the viewing of biomolecules in near-native environments at high resolution, is rising in accessibility and applicability. Over the past several years, once slow sample preparation and data collection procedures have seen innovations which enable rapid collection of the large datasets required for attaining high resolution structures. Increased data availability has provided a driving force for exciting improvements in cryo-ET data processing methodologies throughout the entire processing pipeline and the development of accessible graphical user interfaces (GUIs) that enable individuals inexperienced in computational fields to convert raw tilt series into 3D structures. These advances in data processing are enabling cryo-ET to attain higher resolution and extending its applicability to more complex samples.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11283971PMC
http://dx.doi.org/10.1016/j.sbi.2024.102861DOI Listing

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