Journal
FEBS JOURNAL
Volume 275, Issue 1, Pages 1-21Publisher
BLACKWELL PUBLISHING
DOI: 10.1111/j.1742-4658.2007.06178.x
Keywords
protein crystallography; Protein Data Bank; restraints; resolution; R-factor; structure determination; structure interpretation; structure quality; structure refinement; structure validation
Categories
Funding
- Intramural NIH HHS Funding Source: Medline
- NIGMS NIH HHS [U54 GM074942, R01 GM117080, GM53163, R01 GM053163, GM74942] Funding Source: Medline
- NATIONAL CANCER INSTITUTE [ZIABC010378, ZIABC010348] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM053163, U54GM074942] Funding Source: NIH RePORTER
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The number of macromolecular structures deposited in the Protein Data Bank now exceeds 45 000, with the vast majority determined using crystallographic methods. Thousands of studies describing such structures have been published in the scientific literature, and 14 Nobel prizes in chemistry or medicine have been awarded to protein crystallographers. As important as these structures are for understanding the processes that take place in living organisms and also for practical applications such as drug design, many non-crystallographers still have problems with critical evaluation of the structural literature data. This review attempts to provide a brief outline of technical aspects of crystallography and to explain the meaning of some parameters that should be evaluated by users of macromolecular structures in order to interpret, but not over-interpret, the information present in the coordinate files and in their description. A discussion of the extent of the information that can be gleaned from the coordinates of structures solved at different resolution, as well as problems and pitfalls encountered in structure determination and interpretation are also covered.
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