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Interpretation of ensembles created by multiple iterative rebuilding of macromolecular models.

ABSTRACT: Automation of iterative model building, density modification and refinement in macromolecular crystallography has made it feasible to carry out this entire process multiple times. By using different random seeds in the process, a number of different models compatible with experimental data can be created. Sets of models were generated in this way using real data for ten protein structures from the Protein Data Bank and using synthetic data generated at various resolutions. Most of the heterogeneity among models produced in this way is in the side chains and loops on the protein surface. Possible interpretations of the variation among models created by repetitive rebuilding were investigated. Synthetic data were created in which a crystal structure was modelled as the average of a set of ;perfect' structures and the range of models obtained by rebuilding a single starting model was examined. The standard deviations of coordinates in models obtained by repetitive rebuilding at high resolution are small, while those obtained for the same synthetic crystal structure at low resolution are large, so that the diversity within a group of models cannot generally be a quantitative reflection of the actual structures in a crystal. Instead, the group of structures obtained by repetitive rebuilding reflects the precision of the models, and the standard deviation of coordinates of these structures is a lower bound estimate of the uncertainty in coordinates of the individual models.

SUBMITTER: Terwilliger TC

PROVIDER: S-EPMC2483474 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature

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Interpretation of ensembles created by multiple iterative rebuilding of macromolecular models.

Terwilliger Thomas C TC Grosse-Kunstleve Ralf W RW Afonine Pavel V PV Adams Paul D PD Moriarty Nigel W NW Zwart Peter P Read Randy J RJ Turk Dusan D Hung Li Wei LW

Acta crystallographica. Section D, Biological crystallography 20070421 Pt 5

Automation of iterative model building, density modification and refinement in macromolecular crystallography has made it feasible to carry out this entire process multiple times. By using different random seeds in the process, a number of different models compatible with experimental data can be created. Sets of models were generated in this way using real data for ten protein structures from the Protein Data Bank and using synthetic data generated at various resolutions. Most of the heterogene ...[more]

PMID: 17452785

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Interpretation of ensembles created by multiple iterative rebuilding of macromolecular models.

Publications

Interpretation of ensembles created by multiple iterative rebuilding of macromolecular models.

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