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Automated identification of elemental ions in macromolecular crystal structures.


ABSTRACT: Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking algorithms in phenix.refine have been extended to build common ions based on an analysis of the chemical environment as well as physical properties such as occupancy, B factor and anomalous scattering. The method is most effective for heavier elements such as calcium and zinc, for which a majority of sites can be placed with few false positives in a diverse test set of structures. At atomic resolution, it is observed that it can also be possible to identify tightly bound sodium and magnesium ions. A number of challenges that contribute to the difficulty of completely automating the process of structure completion are discussed.

SUBMITTER: Echols N 

PROVIDER: S-EPMC3975891 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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Automated identification of elemental ions in macromolecular crystal structures.

Echols Nathaniel N   Morshed Nader N   Afonine Pavel V PV   McCoy Airlie J AJ   Miller Mitchell D MD   Read Randy J RJ   Richardson Jane S JS   Terwilliger Thomas C TC   Adams Paul D PD  

Acta crystallographica. Section D, Biological crystallography 20140320 Pt 4


Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking algorithms in phenix.refine have been extended to build common ions based on an analysis of the chemical environment as well as physical properties such as occupancy, B factor and anomalous scattering  ...[more]

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