title: Pcons5: combining consensus, structural evaluation and fold recognition scores.
abstract: BACKGROUND
  The success of the consensus approach to the protein structure prediction problem has led to development of several different consensus methods. Most of them only rely on a structural comparison of a number of different models. However, there are other types of information that might be useful such as the score from the server and structural evaluation.
  
  
  RESULTS
  Pcons5 is a new and improved version of the consensus predictor Pcons. Pcons5 integrates information from three different sources: the consensus analysis, structural evaluation and the score from the fold recognition servers. We show that Pcons5 is better than the previous version of Pcons and that it performs better than using only the consensus analysis. In addition, we also present a version of Pmodeller based on Pcons5, which performs significantly better than Pcons5.
  
  
  BACKGROUND
  Pcons5 is the first Pcons version available as a standalone program from http://www.sbc.su.se/~bjorn/Pcons5. It should be easy to implement in local meta-servers.
authors.affiliation: Stockholm Bioinformatics Center, Stockholm University SE-106 91 Stockholm, Sweden. bjorn@sbc.su.se
authors.forename: Björn
authors.initials: B
authors.lastname: Wallner
authors.forename: Arne
authors.initials: A
authors.lastname: Elofsson
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D030562:Databases, Protein; D015233:Models, Statistical; D016571:Neural Networks, Computer; D011487:Protein Conformation; D017510:Protein Folding; D017433:Protein Structure, Secondary; D011506:Proteins; D012372:ROC Curve; D016415:Sequence Alignment; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins