Open AccessInterpretation of very low resolution X‐ray electron‐density maps using core objects
Author(s) -
Heuser Philipp,
Langer Gerrit G.,
Lamzin Victor S.
Publication year - 2009
Publication title -
acta crystallographica section d
Language(s) - English
Resource type - Journals
ISSN - 1399-0047
DOI - 10.1107/s090744490901991x
Subject(s) - interpretation (philosophy) , segmentation , extension (predicate logic) , resolution (logic) , pattern recognition (psychology) , core (optical fiber) , low resolution , computer science , artificial intelligence , algorithm , high resolution , geography , telecommunications , remote sensing , programming language
A novel approach to obtaining structural information from macromolecular X‐ray data extending to resolutions as low as 20 Å is presented. Following a simple map‐segmentation procedure, the approximate shapes of the domains forming the structure are identified. A pattern‐recognition comparative analysis of these shapes and those derived from the structures of domains from the PDB results in candidate structural models that can be used for a fit into the density map. It is shown that the placed candidate models can be employed for subsequent phase extension to higher resolution.