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Crystal structures of increasingly large molecules: meeting the challenges with CRYSTALS software

Overview of attention for article published in BMC Chemistry, May 2015
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Title
Crystal structures of increasingly large molecules: meeting the challenges with CRYSTALS software
Published in
BMC Chemistry, May 2015
DOI 10.1186/s13065-015-0105-4
Pubmed ID
Authors

Pascal Parois, Richard I Cooper, Amber L Thompson

Abstract

The size and complexity of molecules being studied by single crystal diffraction is growing year by year, resulting in an increase in the difficulties encountered during structure determination. From the crystallisation itself and sample handling, to structure solution and refinement, specific problems due to larger molecules are discussed. During refinement, several methods are available to deal with the problems encountered with large structures within the software Crystals. Hydrogens atoms can neither be found easily nor refined freely, but restraints can be applied automatically. Special scattering factors can be used to model complex disorder. Finally chemical information can be included in the form of restraints in order to help the determination of a good model. Multicollinearity problems are more likely in the refinement of large structures; to some extent more precise and accurate algorithms can help. Also, if the global minimum is less well defined, faster refinement enables more cycles to be carried out, a necessity for good convergence. The efficiency of the algorithms in Crystals have been increased to help address these issues. Thus, crystal structures are getting larger and their complexity is increasing. Recent developments in precision and speed during the least squares in Crystals is helping the structural scientist to deal with larger structures more efficiently.

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The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 40%
Student > Master 7 13%
Student > Bachelor 5 10%
Researcher 4 8%
Student > Doctoral Student 1 2%
Other 1 2%
Unknown 13 25%
Readers by discipline Count As %
Chemistry 27 52%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 4 8%
Unknown 15 29%