IDENTIFICATION OF HEAVY-ATOM DERIVATIVES BY NORMAL PROBABILITY METHODS

被引:107
作者
HOWELL, PL
SMITH, GD
机构
[1] MED FDN BUFFALO INC,73 HIGH ST,BUFFALO,NY 14203
[2] INST PASTEUR,DEPT IMMUNOL,CNRS,URA 359,F-75724 PARIS 15,FRANCE
关键词
D O I
10.1107/S0021889891010385
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Normal and half-normal probability plots have been used extensively in the analysis of data and parameters in small-molecule crystallography. A procedure and computer program is described to apply this method to macromolecular data. The utility of this procedure is that a subset of data from a putative heavy-atom derivative can be analyzed and compared with a native set of data providing a quantitative indicator of individual and overall changes in intensity. A qualitative measure of the scattering contribution as a function of resolution can be obtained from comparisons of different resolution ranges. The results from comparisons of (i) native data collected by different techniques and (ii) native and heavy-atom-derivative data suggest a set of guidelines which can be used as an aid in the selection of data with a significant heavy-atom contribution.
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页码:81 / 86
页数:6
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