title: Critical assessment of methods of protein structure prediction-Round VII.
abstract: This paper is an introduction to the supplemental issue of the journal PROTEINS, dedicated to the seventh CASP experiment to assess the state of the art in protein structure prediction. The paper describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. Highlights are improvements in model accuracy relative to that obtainable from knowledge of a single best template structure; convergence of the accuracy of models produced by automatic servers toward that produced by human modeling teams; the emergence of methods for predicting the quality of models; and rapidly increasing practical applications of the methods.
authors.affiliation: Center for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, Rockville, Maryland 20850, USA. moult@umbi.umd.edu
authors.forename: John
authors.initials: J
authors.lastname: Moult
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Fidelis
authors.forename: Andriy
authors.initials: A
authors.lastname: Kryshtafovych
authors.forename: Burkhard
authors.initials: B
authors.lastname: Rost
authors.forename: Tim
authors.initials: T
authors.lastname: Hubbard
authors.forename: Anna
authors.initials: A
authors.lastname: Tramontano
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D005069:Evaluation Studies as Topic; D006801:Humans; D008958:Models, Molecular; D015233:Models, Statistical; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry
chemical_list: D011506:Proteins