title: Evaluation of methods for the prediction of membrane spanning regions.
abstract: BACKGROUND
  A variety of tools are available to predict the topology of transmembrane proteins. To date no independent evaluation of the performance of these tools has been published. A better understanding of the strengths and weaknesses of the different tools would guide both the biologist and the bioinformatician to make better predictions of membrane protein topology.
  
  
  RESULTS
  Here we present an evaluation of the performance of the currently best known and most widely used methods for the prediction of transmembrane regions in proteins. Our results show that TMHMM is currently the best performing transmembrane prediction program.
authors.affiliation: EMBL-Outstation European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. moeller@ebi.ac.uk
authors.forename: S
authors.initials: S
authors.lastname: Möller
authors.forename: M D
authors.initials: MD
authors.lastname: Croning
authors.forename: R
authors.initials: R
authors.lastname: Apweiler
mesh_terms: D019295:Computational Biology; D019992:Databases as Topic; D008565:Membrane Proteins / Q000737:chemistry* / Q000235:genetics; D008958:Models, Molecular; D011487:Protein Conformation; D021382:Protein Sorting Signals / Q000235:genetics; D012984:Software; D012995:Solubility
chemical_list: D008565:Membrane Proteins; D021382:Protein Sorting Signals