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Fast Fourier feature recognition

Cowtan, K.D. (2001) Fast Fourier feature recognition. Acta Crystallographica Section D-Biological Crystallography, 57 (10). pp. 1435-1444. ISSN 0907-4449

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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.

Item Type: Article
Institution: The University of York
Academic Units: The University of 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
URI: http://eprints.whiterose.ac.uk/id/eprint/5521

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