Premium
CASP6 assessment of contact prediction
Author(s) -
Graña Osvaldo,
Baker David,
MacCallum Robert M.,
Meiler Jens,
Punta Marco,
Rost Burkhard,
Tress Michael L.,
Valencia Alfonso
Publication year - 2005
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.20739
Subject(s) - casp , protein structure prediction , set (abstract data type) , computer science , predictive modelling , statistics , machine learning , mathematics , biology , protein structure , biochemistry , programming language
Here we present the evaluation results of the Critical Assessment of Protein Structure Prediction (CASP6) contact prediction category. Contact prediction was assessed with standard measures well known in the field and the performance of specialist groups was evaluated alongside groups that submitted models with 3D coordinates. The evaluation was mainly focused on long range contact predictions for the set of new fold targets, although we analyzed predictions for all targets. Three groups with similar levels of accuracy and coverage performed a little better than the others. Comparisons of the predictions of the three best methods with those of CASP5/CAFASP3 suggested some improvement, although there were not enough targets in the comparisons to make this statistically significant. Proteins 2005;Suppl 7:214–224. © 2005 Wiley‐Liss, Inc.