The two-dimensional histogram as histogram as a constraint for protein phase improvement

Citation
A. Goldstein et Kyj. Zhang, The two-dimensional histogram as histogram as a constraint for protein phase improvement, ACT CRYST D, 54, 1998, pp. 1230-1244
Citations number
24
Categorie Soggetti
Chemistry & Analysis
Journal title
ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY
ISSN journal
09074449 → ACNP
Volume
54
Year of publication
1998
Part
6
Pages
1230 - 1244
Database
ISI
SICI code
0907-4449(19981101)54:S2<1230:TTHAHA>2.0.ZU;2-3
Abstract
The joint distribution of electron density and its gradient in a protein el ectron-density map was examined. This joint distribution was represented by a two-dimensional histogram (2D histogram) of electron-density values and the modulus of the gradient. 16 structures representing distinct protein-fo ld families were selected to study the dependence of the 2D histogram on re solution, overall temperature factor, structural conformation and phase err or. The similarity between the histograms for a pair of structures was meas ured by correlation coefficient, and the residual provided a measure of the difference. The 2D histogram was found to vary with resolution and overall temperature factor, but was found to be insensitive to structure conformat ion. The average correlation coefficient between pairs of 2D histograms at three different resolutions examined was 0.90 with a standard deviation of 0.04. The average residual for the same condition was 0.13 with a standard deviation of 0.03. The 2D histogram was also found to be sensitive to phase error. The average correlation coefficient and residual between 2D histogr ams with 10 degrees phase difference are 0.71 and 0.18, respectively. The v ariation of the 2D histogram resulting from structure-conformation changes was estimated to be equivalent to that of a 4 degrees phase error. This est ablishes the minimal phase error that a 2D histogram-matching method could achieve. The conservation of the 2D histogram with respect to structure con formation enables the prediction of the ideal 2D histogram for unknown stru ctures. The sensitivity of the 2D histogram to phase error suggests that it could be used as a target for the density-modification method and also cou ld be used as a figure of merit for phase selection in nb initio phasing.