MAD PHASING - BAYESIAN ESTIMATES OF F-A

A Bayesian approach is applied to the calculation of Patterson functions and cross-Fourier maps in the analysis of multi-wavelength anomalous-diffraction (MAD) data. This procedure explicitly incorporates information available a priori on the likely magnitudes of partial structure factors (F-A) corresponding to the anomalously scattering atoms, uses weighted-average estimates of F-A, and incorporates estimates of errors in the data that are not represented in the instrumental uncertainties. The method is demonstrated by application to MAD data collected on selenomethionine-containing gene V protein.