Improved membrane protein topology prediction by domain assignments.
Topology predictions for integral membrane proteins can be substantially improved if parts of the protein can be constrained to a given in/out location relative to the membrane using experimental data or other information. Here, we have identified a set of 367 domains in the SMART database that, when found in soluble proteins, have compartment-specific localization of a kind relevant for membrane protein topology prediction. Using these domains as prediction constraints, we are able to provide high-quality topology models for 11% of the membrane proteins extracted from 38 eukaryotic genomes. Two-thirds of these proteins are single spanning, a group of proteins for which current topology prediction methods perform particularly poorly.
Stockholm University, Sweden. gunnar@dbb.su.se
Andreas
A
Bernsel
Gunnar
G
Von Heijne
D019295:Computational Biology; D005057:Eukaryotic Cells / Q000737:chemistry* / Q000378:metabolism; D016678:Genome; D008565:Membrane Proteins / Q000737:chemistry* / Q000378:metabolism; D020543:Proteome
D008565:Membrane Proteins; D020543:Proteome