Literature DB >> 17570892

The statistics of the highest E value.

Grzegorz Chojnowski1, Matthias Bochtler.   

Abstract

In a previous publication, the Gumbel-Fisher-Tippett (GFT) extreme-value analysis has been applied to investigate the statistics of the intensity of the strongest reflection in a thin resolution shell. Here, a similar approach is applied to study the distribution, expectation value and standard deviation of the highest normalized structure-factor amplitude (E value). As before, acentric and centric reflections are treated separately, a random arrangement of scattering atoms is assumed, and E-value correlations are neglected. Under these assumptions, it is deduced that the highest E value is GFT distributed to a good approximation. Moreover, it is shown that the root of the expectation value of the highest ;normalized' intensity is not only an upper limit for the expectation value of the highest E value but also a very good estimate. Qualitatively, this can be attributed to the sharpness of the distribution of the highest E value. Although the formulas were derived with various simplifying assumptions and approximations, they turn out to be useful also for real small-molecule and protein crystal structures, for both thin and thick resolution shells. The only limitation is that low-resolution data (below 2.5 A) have to be excluded from the analysis. These results have implications for the identification of outliers in experimental diffraction data.

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Year:  2007        PMID: 17570892     DOI: 10.1107/S010876730701848X

Source DB:  PubMed          Journal:  Acta Crystallogr A        ISSN: 0108-7673            Impact factor:   2.290


  1 in total

1.  findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM.

Authors:  Grzegorz Chojnowski; Adam J Simpkin; Diego A Leonardo; Wolfram Seifert-Davila; Dan E Vivas-Ruiz; Ronan M Keegan; Daniel J Rigden
Journal:  IUCrJ       Date:  2021-12-01       Impact factor: 4.769

  1 in total

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