Open AccessDirect incorporation of experimental phase information in model refinement
Author(s) -
Skubák Pavol,
Murshudov Garib N.,
Pannu Navraj S.
Publication year - 2004
Publication title -
acta crystallographica section d
Language(s) - English
Resource type - Journals
ISSN - 1399-0047
DOI - 10.1107/s0907444904019079
Subject(s) - computer science , likelihood function , algorithm , multivariate statistics , function (biology) , maximum likelihood , prior information , phase (matter) , likelihood ratio test , data mining , artificial intelligence , machine learning , mathematics , statistics , estimation theory , physics , quantum mechanics , evolutionary biology , biology
The incorporation of prior phase information into a maximum‐likelihood formalism has been shown to strengthen model refinement. However, the currently available likelihood refinement target using prior phase information has shortcomings; the `phased' refinement target considers experimental phase information indirectly and statically in the form of Hendrickson–Lattman coefficients. Furthermore, the current refinement target implicitly assumes that the prior phase information is independent of the calculated model structure factor. This paper describes the derivation of a multivariate likelihood function that overcomes these shortcomings and directly incorporates experimental phase information from a single‐wavelength anomalous diffraction (SAD) experiment. This function, which simultaneously refines heavy‐atom and model parameters, has been implemented in the refinement program REFMAC 5. The SAD function used in conjunction with the automated model‐building procedures of ARP / wARP leads to a successful solution when current likelihood functions fail in a test case shown.