title: Improved predictions by Pcons.net using multiple templates.
abstract: Multiple templates can often be used to build more accurate homology models than models built from a single template. Here we introduce PconsM, an automated protocol that uses multiple templates to build protein models. PconsM has been among the top-performing methods in the recent CASP experiments and consistently perform better than the single template models used in Pcons.net. In particular for the easier targets with many alternative templates with a high degree of sequence identity, quality is readily improved with a few percentages over the highest ranked model built on a single template. PconsM is available as an additional pipeline within the Pcons.net protein structure prediction server.
  
  
  METHODS
  PconsM is freely available from http://pcons.net/.
authors.affiliation: Center for Biomembrane Research, Department of Biochemistry and Biophysics, Swedish e-Science Research Centre, Stockholm Bioinformatics Centre, SciLifeLab, Stockholm University SE-10691 Stockholm, Sweden.
authors.forename: Per
authors.initials: P
authors.lastname: Larsson
authors.forename: Marcin J
authors.initials: MJ
authors.lastname: Skwark
authors.forename: Björn
authors.initials: B
authors.lastname: Wallner
authors.forename: Arne
authors.initials: A
authors.lastname: Elofsson
mesh_terms: D019295:Computational Biology / Q000379:methods*; D008958:Models, Molecular; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins