Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 137, Issue 3, Pages 292-304Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/S1047-8477(02)00014-X
Keywords
image database; SQL; electron cryomicroscopy; single particle reconstruction; icosahedral reconstruction; high resolution; high throughput
Funding
- NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES [R01AI046420] Funding Source: NIH RePORTER
- NIAID NIH HHS [AI46420] Funding Source: Medline
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Recent advances in electron cryomicroscopy instrumentation and single particle reconstruction have created opportunities for high-throughput and high-resolution three-dimensional (3D) structure determination of macromolecular complexes. However, it has become impractical and inefficient to rely on conventional text file data management and command-line programs to organize and process the increasing numbers of image data required in high-resolution studies. Here, we present a distributed relational database for managing complex datasets and its integration into our high-resolution software package IMIRS (Image Management and Icosahedral Reconstruction System). IMIRS consists of a complete set of modular programs for icosahedral reconstruction organized under a graphical user interface and provides options for user-friendly, step-by-step data processing as well as automatic reconstruction. We show that the integration of data management with processing in IMIRS automates the tedious tasks of data management, enables data coherence, and facilitates information sharing in a distributed computer and user environment without significantly increasing the time of program execution. We demonstrate the applicability of IMIRS in icosahedral reconstruction toward high resolution by using it to obtain an 8-Angstrom 3D structure of an intermediate-sized dsRNA virus. (C) 2002 Elsevier Science (USA). All rights reserved.
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