Analysis of crystallographic phase retrieval using iterative projection algorithms.

ABSTRACT: For protein crystals in which more than two thirds of the volume is occupied by solvent, the featureless nature of the solvent region often generates a constraint that is powerful enough to allow direct phasing of X-ray diffraction data. Practical implementation relies on the use of iterative projection algorithms with good global convergence properties to solve the difficult nonconvex phase-retrieval problem. In this paper, some aspects of phase retrieval using iterative projection algorithms are systematically explored, where the diffraction data and density-value distributions in the protein and solvent regions provide the sole constraints. The analysis is based on the addition of random error to the phases of previously determined protein crystal structures, followed by evaluation of t

SUBMITTER: Barnett MJ 

PROVIDER: S-EPMC11544429 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature