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Critical assessment of methods of protein structure prediction—Round VII
Author(s) -
Moult John,
Fidelis Krzysztof,
Kryshtafovych Andriy,
Rost Burkhard,
Hubbard Tim,
Tramontano Anna
Publication year - 2007
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.21767
Subject(s) - casp , protein structure prediction , computer science , convergence (economics) , machine learning , data mining , artificial intelligence , protein structure , chemistry , biochemistry , economics , economic growth
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. Proteins 2007. © 2007 Wiley‐Liss, Inc.