Maximum-likelihood density modification using pattern recognition of structural motifs.

ABSTRACT: The likelihood-based approach to density modification [Terwilliger (2000), Acta Cryst. D56, 965-972] is extended to include the recognition of patterns of electron density. Once a region of electron density in a map is recognized as corresponding to a known structural element, the likelihood of the map is reformulated to include a term that reflects how closely the map agrees with the expected density for that structural element. This likelihood is combined with other aspects of the likelihood of the map, including the presence of a flat solvent region and the electron-density distribution in the protein region. This likelihood-based pattern-recognition approach was tested using the recognition of helical segments in a largely helical protein. The pattern-recognition method yields a substa

SUBMITTER: Terwilliger TC 

PROVIDER: S-EPMC2745886 | biostudies-literature | 2001 Dec

REPOSITORIES: biostudies-literature