Cowtan, K.D. (2001) Fast Fourier feature recognition. Acta Crystallographica Section D-Biological Crystallography, 57 (10). pp. 1435-1444. ISSN 0907-4449
Abstract
Various approaches have been demonstrated for the automatic interpretation of crystallographic data in terms of atomic models. The use of a masked Fourier-based search function has some benefits for this task. The application and optimization of this procedure is discussed in detail. The search function also acquires a statistical significance when used with an appropriate electron-density target and weighting, giving rise to improved results at low resolutions. Methods are discussed for building a library of protein fragments suitable for use with this procedure. These methods are demonstrated with the construction of a statistical target for the identification of short helical fragments in the electron density.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Chemistry (York) |
Depositing User: | York RAE Import |
Date Deposited: | 13 Aug 2009 15:29 |
Last Modified: | 13 Aug 2009 15:29 |
Published Version: | http://dx.doi.org/10.1107/S0907444901010812 |
Status: | Published |
Publisher: | International Union of Crystallography |
Identification Number: | 10.1107/S0907444901010812 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:5521 |