title: On the probabilistic theory of isomorphous data sets: general joint distributions for the SIR, SAS and partial/complete structure cases.
abstract: By characterizing isomorphism in reciprocal space [i.e. diffraction data sets are isomorphous if they have the same geometry (the same reciprocal-lattice unit cell) and the same symmetry] it is shown that the diffraction data of a native protein and of its heavy-atom derivatives, the calculated data of a partial structure and the observed data of its associated complete structure, and the Friedel-pair data of an anomalously scattering crystal structure all belong to the more general class of isomorphous data sets. Their joint probability distributions for two- and three-phase structure invariants are shown to be isomorphous: they have the same functional form and differ only in individual atomic scattering factors. General joint probability distributions, which can be used for any isomorphous data pairs, are presented.
authors.affiliation: Department of Chemistry, Queen's University, Kingston, Canada.
authors.forename: S
authors.initials: S
authors.lastname: Fortier
authors.forename: G D
authors.initials: GD
authors.lastname: Nigam
mesh_terms: D003461:Crystallography; D015233:Models, Statistical; D015394:Molecular Structure; D011506:Proteins
chemical_list: D011506:Proteins