期刊
JOURNAL OF STRUCTURAL BIOLOGY
卷 157, 期 1, 页码 211-225出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2006.07.013
关键词
3D image reconstruction; icosahedral virus; origin and orientation determination; electron cryo-microscopy; resolution estimate; model-based refinement; automated image processing
资金
- NIAID NIH HHS [AI-055672, P01 AI045976, P01 AI055672] Funding Source: Medline
- NIGMS NIH HHS [R37 GM033050, R01 GM066087, GM R37-033050, GM-066087] Funding Source: Medline
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [P01AI045976, P01AI055672] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R37GM033050, R01GM066087] Funding Source: NIH RePORTER
Model-based, three-dimensional (3D) image reconstruction procedures require a starting model to initiate data analysis. We have designed an ab initio method, which we call the random model (RM) method, that automatically generates models to initiate structural analysis of icosahedral viruses imaged by cryo-electron microscopy. The robustness of the RM procedure was demonstrated on experimental sets of images for five representative viruses. The RM method also provides a straightforward way to generate unbiased starting models to derive independent 3D reconstructions and obtain a more reliable assessment of resolution. The fundamental scheme embodied in the RM method Should be relatively easy to integrate into other icosahedral software packages. (c) 2006 Elsevier Inc. All rights reserved.
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