Template convolution to enhance or detect structural features in macromolecular electron-density maps.

A conceptually simple real-space convolution method has been developed which can be used to detect or enhance structural features in experimental macromolecular electron-density maps. The method has been implemented in a computer program (ESSENS). One application of the method is in selectively visualizing secondary-structure elements in multiple isomorphous replacement (MIR) maps of proteins, prior to map interpretation. This application is demonstrated for MIR maps of P2 myelin protein [Jones, Bergfors, Sedzik & Unge (1988). EMBO J. 7, 1597-1604; Cowan, Newcomer & Jones (1993). J. Mol. Biol. 230, 1225-1246] and glyoxalase I [Cameron, Olin, Ridderström, Mannervik & Jones (1997). In preparation]. Another application is in finding the optimal orientation and position of a known structural fragment (e.g. a protein domain or a ligand) in any type of electron-density map (real-space or phased molecular replacement). This application is demonstrated for the complex of acetylcholinesterase and the snake toxin fasciculin II [Harel, Kleywegt, Ravelli, Silman & Sussman (1995). Structure, 3, 1355-1366] where the toxin was located in a map phased using the molecular-replacement solution for the acetylcholinesterase alone.