International
Tables for
Crystallography
Volume F
Crystallography of biological macromolecules
Edited by E. Arnold, D. M. Himmel and M. G. Rossmann

International Tables for Crystallography (2012). Vol. F, ch. 13.3, pp. 347-348   | 1 | 2 |

## Section 13.3.2. R-factor and correlation-coefficient translation functions

L. Tonga*

aDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA
Correspondence e-mail: tong@como.bio.columbia.edu

### 13.3.2. R-factor and correlation-coefficient translation functions

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The crystallographic R factor is often used as an indicator in translation searches. It is a measure of the percentage difference between the observed ( ) and the calculated ( ) structure-factor amplitudes, A similar R factor can be defined based on the square of the structure-factor amplitudes, i.e. an R factor based on intensity, A factor of 2 is introduced in equation (13.3.2.2 ) to make values fall in the same range as . In equations (13.3.2.1 ) and (13.3.2.2 ) and are scale factors that bring the observed and the calculated structure factors to the same level. If these scale factors are calculated in shells of equal reciprocal volume, they can compensate for differences in the displacement factors between the observed and the calculated structure-factor amplitudes.

In addition to the R factor, the correlation coefficient between the observed and the calculated structure factors is also used in translation searches. Like the R factors, correlation coefficients can be defined based on the amplitude or the intensity of the reflections, and that based on the amplitude is shown below. In (13.3.2.3 ), N is the number of reflections that are used in the calculation and denotes the average structure-factor amplitude over the reflections. Unlike the R factors, the correlation coefficients do not depend on the overall scale factor between the observed and the calculated structure factors. However, they can be affected by large differences in the overall displacement factors between the observed and the calculated structure factors. The correlation coefficient based on intensity can be calculated by the fast Fourier transform (FFT) technique for translation-function calculations (Navaza & Vernoslova, 1995 ).

In order to evaluate R factors and correlation coefficients for a translation search, structure factors need to be calculated for the search model, with a given orientation, at different positions in the unit cell. For this special case, where only the positional parameters of the search model are varied, the calculation of the structure factors can be simplified (Nixon & North, 1976 ; Rae, 1977 ). The structure-factor equation can be written as a double summation – first over the atoms in one asymmetric unit of the unit cell and then over all the asymmetric units, where j goes over all the atoms in the asymmetric unit and n goes over all the crystallographic asymmetric units. The nth crystallographic symmetry operator is given by where is the rotational component and is the translational component of the symmetry operator.

For simplicity, first consider the case where there is only one molecule in the asymmetric unit. In the translation search, the model will be placed at different positions in the unit cell, where is a translation vector which is applied to move the model from its starting position ( ). Substituting in (13.3.2.6 ) into (13.3.2.4 ) gives where is the structure factor calculated based only on the nth symmetry-related molecule, It can be calculated by placing the search model at the starting position in a P1 unit cell having the same cell dimensions as the crystal unit cell. The structure factors calculated for this P1 cell are related to by Therefore, the summation over the atoms in the structure-factor calculation, a rather time-consuming process, needs to be performed only once, for the search model at the starting position. Subsequent structure-factor calculations after translation of the model are no longer dependent on the number of atoms present in the unit cell [equation (13.3.2.7 )]. The starting position is usually chosen such that the centre of the search model is at (0, 0, 0). Then the vector that is determined from the translation searches will define the centre of the model in the unit cell.

Equation (13.3.2.7 ) can be generalized to allow for the presence of other molecules that are to remain stationary during the translation search: where is the contribution from the stationary molecules. This formulation is useful if there is more than one molecule in the asymmetric unit. The position of one of the molecules can be determined first, and the model is then included as a stationary molecule for the position search of the next molecule. Incorporation of the contribution from stationary molecules can also improve the quality of the translation function (Zhang & Matthews, 1994 ).

Equation (13.3.2.7 ) can also be generalized to allow for the presence of two (or more) search models that are to move independently of each other during the translation search. However, this will generally lead to a six- (or more) dimensional problem and is expensive in computation time. With improvements in computer technology (especially parallel processing), it may be feasible to carry out such searches in special cases. However, this aspect of translation functions will not be discussed further here.

### References

Zhang, X.-J. & Matthews, B. W. (1994). Enhancement of the method of molecular replacement by incorporation of known structural information. Acta Cryst. D50, 675–686.Google Scholar
Navaza, J. & Vernoslova, E. (1995). On the fast translation functions for molecular replacement. Acta Cryst. A51, 445–449.Google Scholar
Nixon, P. E. & North, A. C. T. (1976). Crystallographic relationship between human and hen-egg lysozymes. I. Methods for the establishment of molecular orientational and positional parameters. Acta Cryst. A32, 320–325.Google Scholar
Rae, A. D. (1977). The use of structure factors to find the origin of an oriented molecular fragment. Acta Cryst. A33, 423–425.Google Scholar