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Fast Fourier feature recognition.

K Cowtan
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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.

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Crystallography, X-RayDatabases, ProteinFourier AnalysisModels, MolecularModels, StatisticalPeptide FragmentsProteinsSoftwareJournal Article

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K Cowtan. 2001-09-21. Fast Fourier feature recognition.. https://doi.org/10.1107/s0907444901010812

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