title: EVA: continuous automatic evaluation of protein structure prediction servers.
abstract: Evaluation of protein structure prediction methods is difficult and time-consuming. Here, we describe EVA, a web server for assessing protein structure prediction methods, in an automated, continuous and large-scale fashion. Currently, EVA evaluates the performance of a variety of prediction methods available through the internet. Every week, the sequences of the latest experimentally determined protein structures are sent to prediction servers, results are collected, performance is evaluated, and a summary is published on the web. EVA has so far collected data for more than 3000 protein chains. These results may provide valuable insight to both developers and users of prediction methods.
  
  
  BACKGROUND
  http://cubic.bioc.columbia.edu/eva.
  
  
  BACKGROUND
  eva@cubic.bioc.columbia.edu
authors.affiliation: Department of Chemistry, Columbia University, 3000 Broadway MC 3136, New York, NY 10027, USA. eva@cubic.bioc.columbia.edu
authors.forename: V A
authors.initials: VA
authors.lastname: Eyrich
authors.forename: M A
authors.initials: MA
authors.lastname: Martí-Renom
authors.forename: D
authors.initials: D
authors.lastname: Przybylski
authors.forename: M S
authors.initials: MS
authors.lastname: Madhusudhan
authors.forename: A
authors.initials: A
authors.lastname: Fiser
authors.forename: F
authors.initials: F
authors.lastname: Pazos
authors.forename: A
authors.initials: A
authors.lastname: Valencia
authors.forename: A
authors.initials: A
authors.lastname: Sali
authors.forename: B
authors.initials: B
authors.lastname: Rost
mesh_terms: D001331:Automation; D020407:Internet; D011487:Protein Conformation; D011506:Proteins / Q000032:analysis*; D012984:Software
chemical_list: D011506:Proteins